Datasets:

adjeNole

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Drug_EHR_QA

like 0

WHAT IS THE DOSAGE OF CAMPHOR- MENTHOL PRESCRIBED TO THE PATIENT WITH ADMISSION ID 110731

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} # Question: WHAT IS THE DOSAGE OF CAMPHOR- MENTHOL PRESCRIBED TO THE PATIENT WITH ADMISSION ID 110731 # SQLQuery:

WHAT IS THE STRENGTH OF THE MEDICINE RANITIDINE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 109170

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} # Question: WHAT IS THE STRENGTH OF THE MEDICINE RANITIDINE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 109170 # SQLQuery:

WHAT IS THE DRUG INTENSITY OF ACETAMINOPHEN GIVEN TO THE PATIENT WITH AN ADMISSION ID = 105360

SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 105360 AND PRESCRIPTIONS.DRUG = "ACETAMINOPHEN"

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} # Question: WHAT IS THE DRUG INTENSITY OF ACETAMINOPHEN GIVEN TO THE PATIENT WITH AN ADMISSION ID = 105360 # SQLQuery:

WHAT IS THE FORM OF DOCUSATE SODIUM PRESCRIBED TO THE PATIENT WITH ADMISSION ID 108754

SELECT PRESCRIPTIONS.FORM_UNIT_DISP FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 108754 AND PRESCRIPTIONS.DRUG = "DOCUSATE SODIUM"

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'} # Question: WHAT IS THE FORM OF DOCUSATE SODIUM PRESCRIBED TO THE PATIENT WITH ADMISSION ID 108754 # SQLQuery:

MENTION THE TOTAL DURATION DURING WHICH THE PATIENT WITH ADMISSION ID = 152311 HAS BEEN TAKING CEFTAZIDIME

SELECT SUM(PRESCRIPTIONS.DURATION_IN_DAYS) FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 152311 AND PRESCRIPTIONS.DRUG = "CEFTAZIDIME" GROUP BY PRESCRIPTIONS.HADM_ID, PRESCRIPTIONS.DRUG

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} # Question: MENTION THE TOTAL DURATION DURING WHICH THE PATIENT WITH ADMISSION ID = 152311 HAS BEEN TAKING CEFTAZIDIME # SQLQuery:

WHAT IS THE DOSE OF ERGOCALCIFEROL THAT THE PATIENT WITH ADMISSION ID = 131345 HAS BEEN PRESCRIBED

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None} # Question: WHAT IS THE DOSE OF ERGOCALCIFEROL THAT THE PATIENT WITH ADMISSION ID = 131345 HAS BEEN PRESCRIBED # SQLQuery:

WHAT IS THE FORM OF FLUTICASONE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 106588

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} # Question: WHAT IS THE FORM OF FLUTICASONE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 106588 # SQLQuery:

WHAT IS THE STRENGTH OF THE MEDICINE LATANOPROST TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 150030

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} # Question: WHAT IS THE STRENGTH OF THE MEDICINE LATANOPROST TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 150030 # SQLQuery:

WHAT WAS THE DOSAGE OF INSULIN THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 185013

SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 185013 AND PRESCRIPTIONS.DRUG = "INSULIN"

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} # Question: WHAT WAS THE DOSAGE OF INSULIN THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 185013 # SQLQuery:

WHAT WAS THE DOSAGE OF METHADONE THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 129109

SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 129109 AND PRESCRIPTIONS.DRUG = "METHADONE"

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None} # Question: WHAT WAS THE DOSAGE OF METHADONE THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 129109 # SQLQuery:

WHAT IS THE FORM OF KEPPRA PRESCRIBED TO THE PATIENT WITH ADMISSION ID 104682

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} # Question: WHAT IS THE FORM OF KEPPRA PRESCRIBED TO THE PATIENT WITH ADMISSION ID 104682 # SQLQuery:

WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG PROTONIX INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 163764

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} # Question: WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG PROTONIX INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 163764 # SQLQuery:

WHAT IS THE STRENGTH OF THE MEDICINE WARFARIN TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 119573

SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 119573 AND PRESCRIPTIONS.DRUG = "WARFARIN"

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} # Question: WHAT IS THE STRENGTH OF THE MEDICINE WARFARIN TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 119573 # SQLQuery:

WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG MORPHINE INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 115191

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} # Question: WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG MORPHINE INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 115191 # SQLQuery:

WHAT WAS THE DOSAGE OF METOPROLOL TARTRATE THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 152311

SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 152311 AND PRESCRIPTIONS.DRUG = "METOPROLOL TARTRATE"

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} # Question: WHAT WAS THE DOSAGE OF METOPROLOL TARTRATE THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 152311 # SQLQuery:

WHAT IS THE DOSAGE OF ASPIRI N PRESCRIBED TO THE PATIENT WITH ADMISSION ID 106076

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} # Question: WHAT IS THE DOSAGE OF ASPIRI N PRESCRIBED TO THE PATIENT WITH ADMISSION ID 106076 # SQLQuery:

WHAT IS THE DRUG INTENSITY OF TYLENOL GIVEN TO THE PATIENT WITH AN ADMISSION ID = 190444

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} # Question: WHAT IS THE DRUG INTENSITY OF TYLENOL GIVEN TO THE PATIENT WITH AN ADMISSION ID = 190444 # SQLQuery:

WHAT IS THE FORM OF GUAIFENESIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 111840

SELECT PRESCRIPTIONS.FORM_UNIT_DISP FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 111840 AND PRESCRIPTIONS.DRUG = "GUAIFENESIN"

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} # Question: WHAT IS THE FORM OF GUAIFENESIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 111840 # SQLQuery:

WHAT IS THE FORM OF AMLODIPINE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 117745

SELECT PRESCRIPTIONS.FORM_UNIT_DISP FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 117745 AND PRESCRIPTIONS.DRUG = "AMLODIPINE"

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'} # Question: WHAT IS THE FORM OF AMLODIPINE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 117745 # SQLQuery:

PLEASE SPECIFY IF THE MEDICINE CYCLOBENZAPRINE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 113307 IS IN THE FORM OF TABLET, CAPSULE, SYRUP OR IN ANY OTHER FORM

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} # Question: PLEASE SPECIFY IF THE MEDICINE CYCLOBENZAPRINE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 113307 IS IN THE FORM OF TABLET, CAPSULE, SYRUP OR IN ANY OTHER FORM # SQLQuery:

WHAT IS THE DOSE OF LEVOFLOXACIN THAT THE PATIENT WITH ADMISSION ID = 110335 HAS BEEN PRESCRIBED

SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 110335 AND PRESCRIPTIONS.DRUG = "LEVOFLOXACIN"

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'D_LABITEMS' has columns: ROW_ID (INTEGER), ITEMID (INTEGER), LABEL (VARCHAR), FLUID (VARCHAR), CATEGORY (VARCHAR), LOINC_CODE (VARCHAR), . The table is: This table contains information about various laboratory items, including their fluid, category and loinc code.{'ROW_ID': 546, 'ITEMID': 51346, 'LABEL': 'BLASTS', 'FLUID': 'CEREBROSPINAL FLUID (CSF)', 'CATEGORY': 'HEMATOLOGY', 'LOINC_CODE': '26447-3'} Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} # Question: WHAT IS THE DOSE OF LEVOFLOXACIN THAT THE PATIENT WITH ADMISSION ID = 110335 HAS BEEN PRESCRIBED # SQLQuery:

MENTION THE TOTAL DURATION DURING WHICH THE PATIENT WITH ADMISSION ID = 160574 HAS BEEN TAKING LEVOPHED

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} # Question: MENTION THE TOTAL DURATION DURING WHICH THE PATIENT WITH ADMISSION ID = 160574 HAS BEEN TAKING LEVOPHED # SQLQuery:

WHAT IS THE DOSE OF MIDODRINE THAT THE PATIENT WITH ADMISSION ID = 151904 HAS BEEN PRESCRIBED

SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 151904 AND PRESCRIPTIONS.DRUG = "MIDODRINE"

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} # Question: WHAT IS THE DOSE OF MIDODRINE THAT THE PATIENT WITH ADMISSION ID = 151904 HAS BEEN PRESCRIBED # SQLQuery:

WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG ASPIRIN FOR PATIENT WITH ADMISSION ID 108889

SELECT PRESCRIPTIONS.ROUTE FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 108889 AND PRESCRIPTIONS.DRUG = "ASPIRIN"

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} # Question: WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG ASPIRIN FOR PATIENT WITH ADMISSION ID 108889 # SQLQuery:

WHAT IS THE DRUG INTENSITY OF MUPIROCIN GIVEN TO THE PATIENT WITH AN ADMISSION ID = 112615

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'} # Question: WHAT IS THE DRUG INTENSITY OF MUPIROCIN GIVEN TO THE PATIENT WITH AN ADMISSION ID = 112615 # SQLQuery:

WHAT IS THE STRENGTH OF THE MEDICINE CHOLECALCIFEROL (VITAMIN D3) TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 110891

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} # Question: WHAT IS THE STRENGTH OF THE MEDICINE CHOLECALCIFEROL (VITAMIN D3) TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 110891 # SQLQuery:

WHAT IS THE DOSAGE OF HALOPERIDOL PRESCRIBED TO THE PATIENT WITH ADMISSION ID 196798

SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 196798 AND PRESCRIPTIONS.DRUG = "HALOPERIDOL"

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'} # Question: WHAT IS THE DOSAGE OF HALOPERIDOL PRESCRIBED TO THE PATIENT WITH ADMISSION ID 196798 # SQLQuery:

WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG OXYGEN INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 100759

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} # Question: WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG OXYGEN INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 100759 # SQLQuery:

NAME THE DRUGS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 105747

SELECT PRESCRIPTIONS.DRUG FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 105747

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} # Question: NAME THE DRUGS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 105747 # SQLQuery:

WHAT IS THE DOSAGE OF FLAGYL PRESCRIBED TO THE PATIENT WITH ADMISSION ID 178143

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} # Question: WHAT IS THE DOSAGE OF FLAGYL PRESCRIBED TO THE PATIENT WITH ADMISSION ID 178143 # SQLQuery:

FOR THE PATIENT HAVING AN ADMISSION ID = 184696, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR ASPIRIN

SELECT PRESCRIPTIONS.ROUTE FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 184696 AND PRESCRIPTIONS.DRUG = "ASPIRIN"

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} # Question: FOR THE PATIENT HAVING AN ADMISSION ID = 184696, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR ASPIRIN # SQLQuery:

WHAT IS THE DOSAGE OF SIMVASTATI N PRESCRIBED TO THE PATIENT WITH ADMISSION ID 115021

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} # Question: WHAT IS THE DOSAGE OF SIMVASTATI N PRESCRIBED TO THE PATIENT WITH ADMISSION ID 115021 # SQLQuery:

WHAT IS THE STRENGTH OF THE MEDICINE METOPROLOL TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 166237

SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 166237 AND PRESCRIPTIONS.DRUG = "METOPROLOL"

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} # Question: WHAT IS THE STRENGTH OF THE MEDICINE METOPROLOL TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 166237 # SQLQuery:

MENTION THE ROUTE OF ADMINISTRATION FOR THE MEDICINE ALENDRONATE RECOMMENDED TO THE PATIENT WITH ADMISSION ID = 104653

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None} Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None} # Question: MENTION THE ROUTE OF ADMINISTRATION FOR THE MEDICINE ALENDRONATE RECOMMENDED TO THE PATIENT WITH ADMISSION ID = 104653 # SQLQuery:

WHAT IS THE DOSE OF ZOLPIDEM THAT THE PATIENT WITH ADMISSION ID = 103722 HAS BEEN PRESCRIBED

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'} # Question: WHAT IS THE DOSE OF ZOLPIDEM THAT THE PATIENT WITH ADMISSION ID = 103722 HAS BEEN PRESCRIBED # SQLQuery:

WHAT IS THE FORM OF PREDNISONE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 105360

SELECT PRESCRIPTIONS.FORM_UNIT_DISP FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 105360 AND PRESCRIPTIONS.DRUG = "PREDNISONE"

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} # Question: WHAT IS THE FORM OF PREDNISONE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 105360 # SQLQuery:

WHAT IS THE DRUG STRENGTH OF FINASTERIDE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 100590

SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 100590 AND PRESCRIPTIONS.DRUG = "FINASTERIDE"

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} # Question: WHAT IS THE DRUG STRENGTH OF FINASTERIDE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 100590 # SQLQuery:

WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG OXYCODONE-ACETAMINOPHEN FOR PATIENT WITH ADMISSION ID 168915

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} # Question: WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG OXYCODONE-ACETAMINOPHEN FOR PATIENT WITH ADMISSION ID 168915 # SQLQuery:

WHAT IS THE FORM OF NYSTATIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 103761

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} # Question: WHAT IS THE FORM OF NYSTATIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 103761 # SQLQuery:

NAME THE DRUGS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 144709

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} # Question: NAME THE DRUGS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 144709 # SQLQuery:

WHAT IS THE DOSAGE OF CALCIUM CARBONATE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 109397

SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 109397 AND PRESCRIPTIONS.DRUG = "CALCIUM CARBONATE"

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None} # Question: WHAT IS THE DOSAGE OF CALCIUM CARBONATE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 109397 # SQLQuery:

FOR THE PATIENT HAVING AN ADMISSION ID = 106076, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR NITRO

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} # Question: FOR THE PATIENT HAVING AN ADMISSION ID = 106076, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR NITRO # SQLQuery:

WHAT IS THE DOSE OF LANSOPRAZOL E THAT THE PATIENT WITH ADMISSION ID = 125206 HAS BEEN PRESCRIBED

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'D_LABITEMS' has columns: ROW_ID (INTEGER), ITEMID (INTEGER), LABEL (VARCHAR), FLUID (VARCHAR), CATEGORY (VARCHAR), LOINC_CODE (VARCHAR), . The table is: This table contains information about various laboratory items, including their fluid, category and loinc code.{'ROW_ID': 546, 'ITEMID': 51346, 'LABEL': 'BLASTS', 'FLUID': 'CEREBROSPINAL FLUID (CSF)', 'CATEGORY': 'HEMATOLOGY', 'LOINC_CODE': '26447-3'} # Question: WHAT IS THE DOSE OF LANSOPRAZOL E THAT THE PATIENT WITH ADMISSION ID = 125206 HAS BEEN PRESCRIBED # SQLQuery:

WHAT IS THE FORM OF WARFARIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 114513

SELECT PRESCRIPTIONS.FORM_UNIT_DISP FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 114513 AND PRESCRIPTIONS.DRUG = "WARFARIN"

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} # Question: WHAT IS THE FORM OF WARFARIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 114513 # SQLQuery:

MENTION THE FORM OF TAMSULOSIN TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 105614

SELECT PRESCRIPTIONS.FORM_UNIT_DISP FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 105614 AND PRESCRIPTIONS.DRUG = "TAMSULOSIN"

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} # Question: MENTION THE FORM OF TAMSULOSIN TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 105614 # SQLQuery:

WHAT IS THE STRENGTH OF THE MEDICINE HYDROMORPHONE (DILAUDID) TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 103761

SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 103761 AND PRESCRIPTIONS.DRUG = "HYDROMORPHONE (DILAUDID)"

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} # Question: WHAT IS THE STRENGTH OF THE MEDICINE HYDROMORPHONE (DILAUDID) TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 103761 # SQLQuery:

WHAT IS THE DRUG STRENGTH OF LEFLUNOMIDE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 117191

SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 117191 AND PRESCRIPTIONS.DRUG = "LEFLUNOMIDE"

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'} # Question: WHAT IS THE DRUG STRENGTH OF LEFLUNOMIDE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 117191 # SQLQuery:

WHAT IS THE DRUG INTENSITY OF MORPHINE SULFATE GIVEN TO THE PATIENT WITH AN ADMISSION ID = 115138

SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 115138 AND PRESCRIPTIONS.DRUG = "MORPHINE SULFATE"

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} # Question: WHAT IS THE DRUG INTENSITY OF MORPHINE SULFATE GIVEN TO THE PATIENT WITH AN ADMISSION ID = 115138 # SQLQuery:

WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG AMOXICILLIN-POT CLAVULANATE FOR PATIENT WITH ADMISSION ID 177721

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} # Question: WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG AMOXICILLIN-POT CLAVULANATE FOR PATIENT WITH ADMISSION ID 177721 # SQLQuery:

WHAT IS THE DRUG INTENSITY OF CEFTRIAXONE GIVEN TO THE PATIENT WITH AN ADMISSION ID = 100590

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'} # Question: WHAT IS THE DRUG INTENSITY OF CEFTRIAXONE GIVEN TO THE PATIENT WITH AN ADMISSION ID = 100590 # SQLQuery:

WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG COMBIVENT INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 115667

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} # Question: WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG COMBIVENT INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 115667 # SQLQuery:

WHAT IS THE FORM OF BRIMODIDINE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 111341

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} # Question: WHAT IS THE FORM OF BRIMODIDINE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 111341 # SQLQuery:

MENTION THE FORM OF IPRATROPIUM BROMIDE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 186134

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} # Question: MENTION THE FORM OF IPRATROPIUM BROMIDE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 186134 # SQLQuery:

WHAT IS THE DOSAGE OF MAGNESIUM OXIDE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 103315

SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 103315 AND PRESCRIPTIONS.DRUG = "MAGNESIUM OXIDE"

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} # Question: WHAT IS THE DOSAGE OF MAGNESIUM OXIDE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 103315 # SQLQuery:

WHAT IS THE FORM OF LIDOCAINE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 109617

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'D_LABITEMS' has columns: ROW_ID (INTEGER), ITEMID (INTEGER), LABEL (VARCHAR), FLUID (VARCHAR), CATEGORY (VARCHAR), LOINC_CODE (VARCHAR), . The table is: This table contains information about various laboratory items, including their fluid, category and loinc code.{'ROW_ID': 546, 'ITEMID': 51346, 'LABEL': 'BLASTS', 'FLUID': 'CEREBROSPINAL FLUID (CSF)', 'CATEGORY': 'HEMATOLOGY', 'LOINC_CODE': '26447-3'} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'} # Question: WHAT IS THE FORM OF LIDOCAINE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 109617 # SQLQuery:

MENTION THE FORM OF BACLOFEN TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 115267

SELECT PRESCRIPTIONS.FORM_UNIT_DISP FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 115267 AND PRESCRIPTIONS.DRUG = "BACLOFEN"

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} # Question: MENTION THE FORM OF BACLOFEN TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 115267 # SQLQuery:

WHAT WAS THE DOSAGE OF NS THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 121467

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'} # Question: WHAT WAS THE DOSAGE OF NS THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 121467 # SQLQuery:

WHAT IS THE DRUG INTENSITY OF KAYEXALATE GIVEN TO THE PATIENT WITH AN ADMISSION ID = 104710

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'} # Question: WHAT IS THE DRUG INTENSITY OF KAYEXALATE GIVEN TO THE PATIENT WITH AN ADMISSION ID = 104710 # SQLQuery:

WHAT IS THE DRUG INTENSITY OF ASPIRIN GIVEN TO THE PATIENT WITH AN ADMISSION ID = 123475

SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 123475 AND PRESCRIPTIONS.DRUG = "ASPIRIN"

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} # Question: WHAT IS THE DRUG INTENSITY OF ASPIRIN GIVEN TO THE PATIENT WITH AN ADMISSION ID = 123475 # SQLQuery:

HOW LONG HAS THE PATIENT WITH ADMISSION ID = 100187 BEEN TAKING LEVOFLOXACIN

SELECT SUM(PRESCRIPTIONS.DURATION_IN_DAYS) FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 100187 AND PRESCRIPTIONS.DRUG = "LEVOFLOXACIN" GROUP BY PRESCRIPTIONS.HADM_ID, PRESCRIPTIONS.DRUG

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} # Question: HOW LONG HAS THE PATIENT WITH ADMISSION ID = 100187 BEEN TAKING LEVOFLOXACIN # SQLQuery:

WHAT IS THE FORM OF SALMETEROL XINAFOATE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 121116

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} # Question: WHAT IS THE FORM OF SALMETEROL XINAFOATE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 121116 # SQLQuery:

WHAT IS THE DOSE OF DOCUSATE SODIUM THAT THE PATIENT WITH ADMISSION ID = 112445 HAS BEEN PRESCRIBED

SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 112445 AND PRESCRIPTIONS.DRUG = "DOCUSATE SODIUM"

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'} Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None} Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'} # Question: WHAT IS THE DOSE OF DOCUSATE SODIUM THAT THE PATIENT WITH ADMISSION ID = 112445 HAS BEEN PRESCRIBED # SQLQuery:

FOR THE PATIENT HAVING AN ADMISSION ID = 106384, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR METOPROLOL TARTRATE

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} # Question: FOR THE PATIENT HAVING AN ADMISSION ID = 106384, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR METOPROLOL TARTRATE # SQLQuery:

WHAT IS THE STRENGTH OF THE MEDICINE DILTIAZEM HCL TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 115347

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'} # Question: WHAT IS THE STRENGTH OF THE MEDICINE DILTIAZEM HCL TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 115347 # SQLQuery:

WHAT IS THE DOSAGE OF HEPARIN (PORCINE) PRESCRIBED TO THE PATIENT WITH ADMISSION ID 114959

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} # Question: WHAT IS THE DOSAGE OF HEPARIN (PORCINE) PRESCRIBED TO THE PATIENT WITH ADMISSION ID 114959 # SQLQuery:

WHAT IS THE STRENGTH OF THE MEDICINE SENNA TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 160574

SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 160574 AND PRESCRIPTIONS.DRUG = "SENNA"

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} # Question: WHAT IS THE STRENGTH OF THE MEDICINE SENNA TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 160574 # SQLQuery:

WHAT IS THE DOSE OF TORSEMIDE THAT THE PATIENT WITH ADMISSION ID = 111882 HAS BEEN PRESCRIBED

SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 111882 AND PRESCRIPTIONS.DRUG = "TORSEMIDE"

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} # Question: WHAT IS THE DOSE OF TORSEMIDE THAT THE PATIENT WITH ADMISSION ID = 111882 HAS BEEN PRESCRIBED # SQLQuery:

WHAT WAS THE DOSAGE OF IPRATROPIUM BROMIDE THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 174037

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None} # Question: WHAT WAS THE DOSAGE OF IPRATROPIUM BROMIDE THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 174037 # SQLQuery:

WHAT IS THE DOSE OF WARFARIN THAT THE PATIENT WITH ADMISSION ID = 100579 HAS BEEN PRESCRIBED

SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 100579 AND PRESCRIPTIONS.DRUG = "WARFARIN"

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} # Question: WHAT IS THE DOSE OF WARFARIN THAT THE PATIENT WITH ADMISSION ID = 100579 HAS BEEN PRESCRIBED # SQLQuery:

WHAT IS THE DRUG INTENSITY OF RANITIDINE HCL GIVEN TO THE PATIENT WITH AN ADMISSION ID = 127356

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'} # Question: WHAT IS THE DRUG INTENSITY OF RANITIDINE HCL GIVEN TO THE PATIENT WITH AN ADMISSION ID = 127356 # SQLQuery:

WHAT IS THE DRUG INTENSITY OF PLAVIX GIVEN TO THE PATIENT WITH AN ADMISSION ID = 121631

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} # Question: WHAT IS THE DRUG INTENSITY OF PLAVIX GIVEN TO THE PATIENT WITH AN ADMISSION ID = 121631 # SQLQuery:

WHAT IS THE DRUG STRENGTH OF FUROSEMIDE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 161384

SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 161384 AND PRESCRIPTIONS.DRUG = "FUROSEMIDE"

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} # Question: WHAT IS THE DRUG STRENGTH OF FUROSEMIDE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 161384 # SQLQuery:

WHAT IS THE DOSE OF PIOGLITAZON E THAT THE PATIENT WITH ADMISSION ID = 116901 HAS BEEN PRESCRIBED

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} # Question: WHAT IS THE DOSE OF PIOGLITAZON E THAT THE PATIENT WITH ADMISSION ID = 116901 HAS BEEN PRESCRIBED # SQLQuery:

WHAT IS THE STRENGTH OF THE MEDICINE HALDOL TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 106588

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} # Question: WHAT IS THE STRENGTH OF THE MEDICINE HALDOL TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 106588 # SQLQuery:

WHAT IS THE DOSE OF JANUVIA THAT THE PATIENT WITH ADMISSION ID = 116901 HAS BEEN PRESCRIBED

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'} # Question: WHAT IS THE DOSE OF JANUVIA THAT THE PATIENT WITH ADMISSION ID = 116901 HAS BEEN PRESCRIBED # SQLQuery:

WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG ACETAMINOPHEN INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 100035

SELECT PRESCRIPTIONS.ROUTE FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 100035 AND PRESCRIPTIONS.DRUG = "ACETAMINOPHEN"

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} # Question: WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG ACETAMINOPHEN INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 100035 # SQLQuery:

MENTION THE DRUG INTENSITY OF DIVALPROEX PRESCRIBED TO THE PATIENT WHOSE ADMISSION ID IS 114901

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None} # Question: MENTION THE DRUG INTENSITY OF DIVALPROEX PRESCRIBED TO THE PATIENT WHOSE ADMISSION ID IS 114901 # SQLQuery:

WHAT IS THE DRUG STRENGTH OF DIGOXI N PRESCRIBED TO THE PATIENT WITH ADMISSION ID 109697

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'} Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'} Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None} # Question: WHAT IS THE DRUG STRENGTH OF DIGOXI N PRESCRIBED TO THE PATIENT WITH ADMISSION ID 109697 # SQLQuery:

WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG LASIX FOR PATIENT WITH ADMISSION ID 155980

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} # Question: WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG LASIX FOR PATIENT WITH ADMISSION ID 155980 # SQLQuery:

WHAT ARE THE MEDICATIONS TAKEN BY THE PATIENT WITH ADMISSION ID 121663

SELECT PRESCRIPTIONS.DRUG FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 121663

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} # Question: WHAT ARE THE MEDICATIONS TAKEN BY THE PATIENT WITH ADMISSION ID 121663 # SQLQuery:

FOR THE PATIENT HAVING AN ADMISSION ID = 115191, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR OXYCODONE SR

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None} Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404} Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'} # Question: FOR THE PATIENT HAVING AN ADMISSION ID = 115191, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR OXYCODONE SR # SQLQuery:

WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG PAIN MEDS INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 109566

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} # Question: WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG PAIN MEDS INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 109566 # SQLQuery:

WHAT IS THE DRUG INTENSITY OF COLACE GIVEN TO THE PATIENT WITH AN ADMISSION ID = 104095

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'} # Question: WHAT IS THE DRUG INTENSITY OF COLACE GIVEN TO THE PATIENT WITH AN ADMISSION ID = 104095 # SQLQuery:

WHAT IS THE DRUG INTENSITY OF CHOLECALCIFEROL (VITAMIN D3) GIVEN TO THE PATIENT WITH AN ADMISSION ID = 111840

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} Table 'D_LABITEMS' has columns: ROW_ID (INTEGER), ITEMID (INTEGER), LABEL (VARCHAR), FLUID (VARCHAR), CATEGORY (VARCHAR), LOINC_CODE (VARCHAR), . The table is: This table contains information about various laboratory items, including their fluid, category and loinc code.{'ROW_ID': 546, 'ITEMID': 51346, 'LABEL': 'BLASTS', 'FLUID': 'CEREBROSPINAL FLUID (CSF)', 'CATEGORY': 'HEMATOLOGY', 'LOINC_CODE': '26447-3'} # Question: WHAT IS THE DRUG INTENSITY OF CHOLECALCIFEROL (VITAMIN D3) GIVEN TO THE PATIENT WITH AN ADMISSION ID = 111840 # SQLQuery:

WHAT IS THE FORM OF METFORMIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 148266

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'} # Question: WHAT IS THE FORM OF METFORMIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 148266 # SQLQuery:

WHAT IS THE DRUG STRENGTH OF DUONEB PRESCRIBED TO THE PATIENT WITH ADMISSION ID 106423

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'} # Question: WHAT IS THE DRUG STRENGTH OF DUONEB PRESCRIBED TO THE PATIENT WITH ADMISSION ID 106423 # SQLQuery:

FOR THE PATIENT HAVING AN ADMISSION ID = 121467, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR OMEPRAZOL E

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} # Question: FOR THE PATIENT HAVING AN ADMISSION ID = 121467, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR OMEPRAZOL E # SQLQuery:

WHAT IS THE DOSAGE OF B COMPLEX-VITAMIN C- FOLIC ACID PRESCRIBED TO THE PATIENT WITH ADMISSION ID 107421

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} # Question: WHAT IS THE DOSAGE OF B COMPLEX-VITAMIN C- FOLIC ACID PRESCRIBED TO THE PATIENT WITH ADMISSION ID 107421 # SQLQuery:

FOR THE PATIENT HAVING AN ADMISSION ID = 116604, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR CHOLECALCIFEROL (VITAMIN D3)

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} # Question: FOR THE PATIENT HAVING AN ADMISSION ID = 116604, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR CHOLECALCIFEROL (VITAMIN D3) # SQLQuery:

WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG CITALOPRA M INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 107421

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} # Question: WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG CITALOPRA M INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 107421 # SQLQuery:

WHAT WAS THE DOSAGE OF DIAZEPA M THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 112832

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'} Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None} Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'} # Question: WHAT WAS THE DOSAGE OF DIAZEPA M THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 112832 # SQLQuery:

WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG AMLODIPIN E INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 113222

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} # Question: WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG AMLODIPIN E INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 113222 # SQLQuery:

WHAT IS THE DRUG STRENGTH OF OMEPRAZOLE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 108809

SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 108809 AND PRESCRIPTIONS.DRUG = "OMEPRAZOLE"

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'} Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None} # Question: WHAT IS THE DRUG STRENGTH OF OMEPRAZOLE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 108809 # SQLQuery:

MENTION THE ROUTE OF ADMINISTRATION FOR THE MEDICINE NICOTINE RECOMMENDED TO THE PATIENT WITH ADMISSION ID = 110384

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} # Question: MENTION THE ROUTE OF ADMINISTRATION FOR THE MEDICINE NICOTINE RECOMMENDED TO THE PATIENT WITH ADMISSION ID = 110384 # SQLQuery:

MENTION THE ROUTE OF ADMINISTRATION FOR THE MEDICINE AMIODARONE RECOMMENDED TO THE PATIENT WITH ADMISSION ID = 112140

SELECT PRESCRIPTIONS.ROUTE FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 112140 AND PRESCRIPTIONS.DRUG = "AMIODARONE"

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'} Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} # Question: MENTION THE ROUTE OF ADMINISTRATION FOR THE MEDICINE AMIODARONE RECOMMENDED TO THE PATIENT WITH ADMISSION ID = 112140 # SQLQuery:

WHAT IS THE DOSAGE OF TRAZODONE HCL PRESCRIBED TO THE PATIENT WITH ADMISSION ID 178331

SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 178331 AND PRESCRIPTIONS.DRUG = "TRAZODONE HCL"

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} # Question: WHAT IS THE DOSAGE OF TRAZODONE HCL PRESCRIBED TO THE PATIENT WITH ADMISSION ID 178331 # SQLQuery:

WHAT IS THE STRENGTH OF THE MEDICINE ONDANSETRO N TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 116204

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} # Question: WHAT IS THE STRENGTH OF THE MEDICINE ONDANSETRO N TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 116204 # SQLQuery:

WHAT IS THE DRUG INTENSITY OF OXYCODONE GIVEN TO THE PATIENT WITH AN ADMISSION ID = 101813

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} # Question: WHAT IS THE DRUG INTENSITY OF OXYCODONE GIVEN TO THE PATIENT WITH AN ADMISSION ID = 101813 # SQLQuery:

WHAT IS THE DRUG STRENGTH OF COUMADIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 111458

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} # Question: WHAT IS THE DRUG STRENGTH OF COUMADIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 111458 # SQLQuery:

MENTION THE DRUG INTENSITY OF PLAVIX PRESCRIBED TO THE PATIENT WHOSE ADMISSION ID IS 115157

None

Given an input question, first create a syntactically correct sqlite query to run, then look at the results of the query and return the answer. You can order the results by a relevant column to return the most interesting examples in the database. Never query for all the columns from a specific table, only ask for a few relevant columns given the question. Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Pay attention to which column is in which table. Also, qualify column names with the table name when needed. Follow these additional instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT(*) > 0 to determine existence as a Boolean outcome. 3. Entity and Admission IDs: Include hadm_id and the full entity name if the question specifies these are required. 4. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 5. Please only return the exact SQL query. # Only use tables listed below. # Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'} Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1} Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0} Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19} Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249} # Question: MENTION THE DRUG INTENSITY OF PLAVIX PRESCRIBED TO THE PATIENT WHOSE ADMISSION ID IS 115157 # SQLQuery: