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WHAT IS THE STRENGTH OF THE MEDICINE ATENOLOL TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 110162 | SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 110162 AND PRESCRIPTIONS.DRUG = "ATENOLOL" | 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 '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}
# Question: WHAT IS THE STRENGTH OF THE MEDICINE ATENOLOL TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 110162
# SQLQuery:
|
FOR THE PATIENT HAVING AN ADMISSION ID = 164366, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR FOSAMPRENAVIR | SELECT PRESCRIPTIONS.ROUTE FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 164366 AND PRESCRIPTIONS.DRUG = "FOSAMPRENAVIR" | 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: FOR THE PATIENT HAVING AN ADMISSION ID = 164366, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR FOSAMPRENAVIR
# SQLQuery:
|
WHAT IS THE STRENGTH OF THE MEDICINE LORATADINE [CLARITIN] TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 157284 | 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 LORATADINE [CLARITIN] TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 157284
# SQLQuery:
|
WHAT IS THE FORM OF PAROXETINE HCL PRESCRIBED TO THE PATIENT WITH ADMISSION ID 109397 | 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 '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 '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}
# Question: WHAT IS THE FORM OF PAROXETINE HCL PRESCRIBED TO THE PATIENT WITH ADMISSION ID 109397
# SQLQuery:
|
WHAT IS THE DOSAGE OF RHINOCORT AQUA PRESCRIBED TO THE PATIENT WITH ADMISSION ID 108754 | 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 RHINOCORT AQUA PRESCRIBED TO THE PATIENT WITH ADMISSION ID 108754
# SQLQuery:
|
WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG PREDNISON E FOR 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 '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_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 ROUTE OF ADMINISTRATION OF THE DRUG PREDNISON E FOR PATIENT WITH ADMISSION ID 114959
# SQLQuery:
|
NAME THE DRUGS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 109450 | SELECT PRESCRIPTIONS.DRUG FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 109450 | 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 '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: NAME THE DRUGS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 109450
# SQLQuery:
|
FOR THE PATIENT HAVING AN ADMISSION ID = 108950, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR DIPHENOXYLATE- ATROPINE | 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: FOR THE PATIENT HAVING AN ADMISSION ID = 108950, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR DIPHENOXYLATE- ATROPINE
# SQLQuery:
|
WHAT IS THE DOSAGE OF FOLIC ACID PRESCRIBED TO THE PATIENT WITH ADMISSION ID 117745 | SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 117745 AND PRESCRIPTIONS.DRUG = "FOLIC ACID" | 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 DOSAGE OF FOLIC ACID PRESCRIBED TO THE PATIENT WITH ADMISSION ID 117745
# SQLQuery:
|
MENTION THE DRUG INTENSITY OF RANITIDINE HCL PRESCRIBED TO THE PATIENT WHOSE ADMISSION ID IS 181643 | 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: MENTION THE DRUG INTENSITY OF RANITIDINE HCL PRESCRIBED TO THE PATIENT WHOSE ADMISSION ID IS 181643
# SQLQuery:
|
WHAT IS THE STRENGTH OF THE MEDICINE VITAMIN D3 TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 100922 | 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 STRENGTH OF THE MEDICINE VITAMIN D3 TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 100922
# SQLQuery:
|
WHAT IS THE DOSE OF OMEPRAZOLE THAT THE PATIENT WITH ADMISSION ID = 110135 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_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 OMEPRAZOLE THAT THE PATIENT WITH ADMISSION ID = 110135 HAS BEEN PRESCRIBED
# SQLQuery:
|
WHAT IS THE DOSE OF ZOLPIDEM THAT THE PATIENT WITH ADMISSION ID = 120253 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 = 120253 HAS BEEN PRESCRIBED
# SQLQuery:
|
WHAT IS THE STRENGTH OF THE MEDICINE MAGNESIUM HYDROXIDE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 102967 | 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 '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 MAGNESIUM HYDROXIDE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 102967
# SQLQuery:
|
FOR THE PATIENT HAVING AN ADMISSION ID = 116204, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR HCTZ | 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: FOR THE PATIENT HAVING AN ADMISSION ID = 116204, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR HCTZ
# SQLQuery:
|
WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG NADOLOL FOR PATIENT WITH ADMISSION ID 103639 | SELECT PRESCRIPTIONS.ROUTE FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 103639 AND PRESCRIPTIONS.DRUG = "NADOLOL" | 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 NADOLOL FOR PATIENT WITH ADMISSION ID 103639
# SQLQuery:
|
FOR THE PATIENT HAVING AN ADMISSION ID = 115191, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR INSULIN GLARGINE | 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 '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 '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}
# Question: FOR THE PATIENT HAVING AN ADMISSION ID = 115191, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR INSULIN GLARGINE
# SQLQuery:
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WHAT IS THE DOSE OF MUPIROCIN CALCIUM 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 '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 DOSE OF MUPIROCIN CALCIUM THAT THE PATIENT WITH ADMISSION ID = 125206 HAS BEEN PRESCRIBED
# SQLQuery:
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MENTION THE ROUTE OF ADMINISTRATION FOR THE MEDICINE DOCUSATE SODIUM RECOMMENDED TO THE PATIENT WITH ADMISSION ID = 105050 | SELECT PRESCRIPTIONS.ROUTE FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 105050 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 '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 '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 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
# Question: MENTION THE ROUTE OF ADMINISTRATION FOR THE MEDICINE DOCUSATE SODIUM RECOMMENDED TO THE PATIENT WITH ADMISSION ID = 105050
# SQLQuery:
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WHAT IS THE DOSE OF ALENDRONATE THAT THE PATIENT WITH ADMISSION ID = 118243 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 '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 DOSE OF ALENDRONATE THAT THE PATIENT WITH ADMISSION ID = 118243 HAS BEEN PRESCRIBED
# SQLQuery:
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WHAT IS THE DRUG INTENSITY OF PRILOSEC GIVEN TO THE PATIENT WITH AN ADMISSION ID = 106993 | 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 DRUG INTENSITY OF PRILOSEC GIVEN TO THE PATIENT WITH AN ADMISSION ID = 106993
# SQLQuery:
|
WHAT WAS THE DOSAGE OF CALCIUM CARBONATE THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 104468 | SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 104468 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 '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 '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 WAS THE DOSAGE OF CALCIUM CARBONATE THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 104468
# SQLQuery:
|
FOR THE PATIENT HAVING AN ADMISSION ID = 104271, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR ANTIBIOTICS | 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: FOR THE PATIENT HAVING AN ADMISSION ID = 104271, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR ANTIBIOTICS
# SQLQuery:
|
WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG SULFAMETH/ TRIMETHOPRIM FOR PATIENT WITH ADMISSION ID 114626 | 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 SULFAMETH/ TRIMETHOPRIM FOR PATIENT WITH ADMISSION ID 114626
# SQLQuery:
|
MENTION THE DRUG INTENSITY OF RANITIDINE PRESCRIBED TO THE PATIENT WHOSE ADMISSION ID IS 105954 | 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: MENTION THE DRUG INTENSITY OF RANITIDINE PRESCRIBED TO THE PATIENT WHOSE ADMISSION ID IS 105954
# SQLQuery:
|
MENTION THE FORM OF BISACODYL TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 100035 | SELECT PRESCRIPTIONS.FORM_UNIT_DISP FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 100035 AND PRESCRIPTIONS.DRUG = "BISACODYL" | 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: MENTION THE FORM OF BISACODYL TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 100035
# SQLQuery:
|
HOW LONG HAS THE PATIENT WITH ADMISSION ID = 114585 BEEN TAKING PREDNISONE | SELECT SUM(PRESCRIPTIONS.DURATION_IN_DAYS) FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 114585 AND PRESCRIPTIONS.DRUG = "PREDNISONE" 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 '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 '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: HOW LONG HAS THE PATIENT WITH ADMISSION ID = 114585 BEEN TAKING PREDNISONE
# SQLQuery:
|
MENTION THE FORM OF CLONIDINE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 166237 | SELECT PRESCRIPTIONS.FORM_UNIT_DISP FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 166237 AND PRESCRIPTIONS.DRUG = "CLONIDINE" | 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: MENTION THE FORM OF CLONIDINE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 166237
# SQLQuery:
|
WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG ALBUTEROL INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 123475 | 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 ALBUTEROL INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 123475
# SQLQuery:
|
WHAT IS THE FORM OF CAMPHOR-MENTHOL PRESCRIBED TO THE PATIENT WITH ADMISSION ID 112226 | 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 '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 FORM OF CAMPHOR-MENTHOL PRESCRIBED TO THE PATIENT WITH ADMISSION ID 112226
# SQLQuery:
|
WHAT IS THE STRENGTH OF THE MEDICINE ACETAMINOPHEN TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 104979 | SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 104979 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 '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 ACETAMINOPHEN TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 104979
# SQLQuery:
|
MENTION THE FORM OF SENNA TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 160574 | SELECT PRESCRIPTIONS.FORM_UNIT_DISP 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 '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 '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 FORM OF SENNA TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 160574
# SQLQuery:
|
WHAT IS THE FORM OF MAALOX PLUS PRESCRIBED TO THE PATIENT WITH ADMISSION ID 157609 | 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 '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 MAALOX PLUS PRESCRIBED TO THE PATIENT WITH ADMISSION ID 157609
# SQLQuery:
|
WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG HEPARIN INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 109724 | SELECT PRESCRIPTIONS.ROUTE FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 109724 AND PRESCRIPTIONS.DRUG = "HEPARIN" | 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 SHOULD BE THE MODE OF ENTRY OF THE DRUG HEPARIN INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 109724
# SQLQuery:
|
SPECIFY THE DOSE OF THE MEDICINE HYDRALAZINE PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 105050 | SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 105050 AND PRESCRIPTIONS.DRUG = "HYDRALAZINE" | 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: SPECIFY THE DOSE OF THE MEDICINE HYDRALAZINE PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 105050
# SQLQuery:
|
HOW LONG HAS THE PATIENT WITH ADMISSION ID = 102629 BEEN TAKING FUROSEMIDE | SELECT SUM(PRESCRIPTIONS.DURATION_IN_DAYS) FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 102629 AND PRESCRIPTIONS.DRUG = "FUROSEMIDE" 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 '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}
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: HOW LONG HAS THE PATIENT WITH ADMISSION ID = 102629 BEEN TAKING FUROSEMIDE
# SQLQuery:
|
WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG COUMADIN INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 141586 | 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 COUMADIN INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 141586
# SQLQuery:
|
FOR THE PATIENT HAVING AN ADMISSION ID = 105614, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR ASPIRI N | 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 = 105614, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR ASPIRI N
# SQLQuery:
|
WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG RAMIPRI L FOR PATIENT WITH ADMISSION ID 109866 | 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 '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 ROUTE OF ADMINISTRATION OF THE DRUG RAMIPRI L FOR PATIENT WITH ADMISSION ID 109866
# SQLQuery:
|
WHAT IS THE DRUG INTENSITY OF TRIMETHOPRIM-SULFAMETHOXAZOLE GIVEN TO THE PATIENT WITH AN 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 '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 TRIMETHOPRIM-SULFAMETHOXAZOLE GIVEN TO THE PATIENT WITH AN ADMISSION ID = 103761
# SQLQuery:
|
WHAT IS THE DRUG STRENGTH OF LORAZEPAM PRESCRIBED TO THE PATIENT WITH ADMISSION ID 114901 | SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 114901 AND PRESCRIPTIONS.DRUG = "LORAZEPAM" | 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 '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 STRENGTH OF LORAZEPAM PRESCRIBED TO THE PATIENT WITH ADMISSION ID 114901
# SQLQuery:
|
WHAT IS THE DOSE OF PRBCS THAT THE PATIENT WITH ADMISSION ID = 103926 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 '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 DOSE OF PRBCS THAT THE PATIENT WITH ADMISSION ID = 103926 HAS BEEN PRESCRIBED
# SQLQuery:
|
WHAT IS THE DRUG INTENSITY OF DOPAMINE GIVEN TO THE PATIENT WITH AN ADMISSION ID = 156336 | 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 '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 DOPAMINE GIVEN TO THE PATIENT WITH AN ADMISSION ID = 156336
# SQLQuery:
|
WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG DOPAMINE FOR PATIENT WITH ADMISSION ID 116011 | 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 '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 ROUTE OF ADMINISTRATION OF THE DRUG DOPAMINE FOR PATIENT WITH ADMISSION ID 116011
# SQLQuery:
|
WHAT ARE THE LIST OF MEDICINES PRESCRIBED TO THE PATIENT WITH ADMISSION ID 111840 | SELECT PRESCRIPTIONS.DRUG FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 111840 | 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 ARE THE LIST OF MEDICINES PRESCRIBED TO THE PATIENT WITH ADMISSION ID 111840
# SQLQuery:
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WHAT IS THE DRUG STRENGTH OF CALCITRIOL PRESCRIBED TO THE PATIENT WITH ADMISSION ID 113705 | SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 113705 AND PRESCRIPTIONS.DRUG = "CALCITRIOL" | 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 '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 '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 DRUG STRENGTH OF CALCITRIOL PRESCRIBED TO THE PATIENT WITH ADMISSION ID 113705
# SQLQuery:
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WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG BICARB FOR PATIENT WITH ADMISSION ID 104271 | 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 ROUTE OF ADMINISTRATION OF THE DRUG BICARB FOR PATIENT WITH ADMISSION ID 104271
# SQLQuery:
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HOW LONG HAS THE PATIENT WITH ADMISSION ID = 105605 BEEN TAKING LOVENOX | 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 '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_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: HOW LONG HAS THE PATIENT WITH ADMISSION ID = 105605 BEEN TAKING LOVENOX
# SQLQuery:
|
WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG ACETAMINOPHEN INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 129109 | SELECT PRESCRIPTIONS.ROUTE FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 129109 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 '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 ACETAMINOPHEN INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 129109
# SQLQuery:
|
WHAT IS THE FORM OF LEVOTHYROXINE [LEVOXYL] PRESCRIBED TO THE PATIENT WITH ADMISSION ID 113705 | 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 '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 FORM OF LEVOTHYROXINE [LEVOXYL] PRESCRIBED TO THE PATIENT WITH ADMISSION ID 113705
# SQLQuery:
|
WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG ATIVAN FOR PATIENT WITH ADMISSION ID 107902 | 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 ATIVAN FOR PATIENT WITH ADMISSION ID 107902
# SQLQuery:
|
MENTION THE DRUG INTENSITY OF IRON PRESCRIBED TO THE PATIENT WHOSE ADMISSION ID IS 130076 | 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 DRUG INTENSITY OF IRON PRESCRIBED TO THE PATIENT WHOSE ADMISSION ID IS 130076
# SQLQuery:
|
MENTION THE FORM OF WARFARIN TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 185289 | SELECT PRESCRIPTIONS.FORM_UNIT_DISP FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 185289 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: MENTION THE FORM OF WARFARIN TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 185289
# SQLQuery:
|
MENTION THE FORM OF PREDNISOLONE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 106993 | 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 FORM OF PREDNISOLONE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 106993
# SQLQuery:
|
WHAT IS THE DRUG STRENGTH OF ATORVASTATIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 149614 | SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 149614 AND PRESCRIPTIONS.DRUG = "ATORVASTATIN" | 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 STRENGTH OF ATORVASTATIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 149614
# SQLQuery:
|
WHAT IS THE DRUG INTENSITY OF CARBIDOPA- LEVODOPA GIVEN TO THE PATIENT WITH AN ADMISSION ID = 114513 | 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 '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 DRUG INTENSITY OF CARBIDOPA- LEVODOPA GIVEN TO THE PATIENT WITH AN ADMISSION ID = 114513
# SQLQuery:
|
WHAT IS THE FORM OF ACETAMINOPHEN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 109566 | SELECT PRESCRIPTIONS.FORM_UNIT_DISP FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 109566 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 '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 ACETAMINOPHEN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 109566
# SQLQuery:
|
MENTION THE DRUG INTENSITY OF MEGACE PRESCRIBED TO THE PATIENT WHOSE ADMISSION ID IS 102937 | 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: MENTION THE DRUG INTENSITY OF MEGACE PRESCRIBED TO THE PATIENT WHOSE ADMISSION ID IS 102937
# SQLQuery:
|
MENTION THE ROUTE OF ADMINISTRATION FOR THE MEDICINE COUMADIN RECOMMENDED TO THE PATIENT WITH ADMISSION ID = 104757 | 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 '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 COUMADIN RECOMMENDED TO THE PATIENT WITH ADMISSION ID = 104757
# SQLQuery:
|
WHAT IS THE DRUG INTENSITY OF DAKIN'S SOLUTION GIVEN TO THE PATIENT WITH AN ADMISSION ID = 104948 | 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_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 '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 INTENSITY OF DAKIN'S SOLUTION GIVEN TO THE PATIENT WITH AN ADMISSION ID = 104948
# SQLQuery:
|
WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG PROPOFOL FOR PATIENT WITH ADMISSION ID 111923 | SELECT PRESCRIPTIONS.ROUTE FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 111923 AND PRESCRIPTIONS.DRUG = "PROPOFOL" | 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 '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}
# Question: WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG PROPOFOL FOR PATIENT WITH ADMISSION ID 111923
# SQLQuery:
|
WHAT IS THE FORM OF SIMVASTATIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 105445 | SELECT PRESCRIPTIONS.FORM_UNIT_DISP FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 105445 AND PRESCRIPTIONS.DRUG = "SIMVASTATIN" | 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 SIMVASTATIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 105445
# SQLQuery:
|
WHAT IS THE STRENGTH OF THE MEDICINE FERROUS SULFATE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 120237 | SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 120237 AND PRESCRIPTIONS.DRUG = "FERROUS 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 '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 FERROUS SULFATE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 120237
# SQLQuery:
|
WHAT IS THE DRUG STRENGTH OF TACROLIMUS PRESCRIBED TO THE PATIENT WITH ADMISSION ID 105014 | SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 105014 AND PRESCRIPTIONS.DRUG = "TACROLIMUS" | 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 '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 TACROLIMUS PRESCRIBED TO THE PATIENT WITH ADMISSION ID 105014
# SQLQuery:
|
MENTION THE ROUTE OF ADMINISTRATION FOR THE MEDICINE FLUIDS RECOMMENDED TO THE PATIENT WITH ADMISSION ID = 166237 | 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 '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: MENTION THE ROUTE OF ADMINISTRATION FOR THE MEDICINE FLUIDS RECOMMENDED TO THE PATIENT WITH ADMISSION ID = 166237
# SQLQuery:
|
WHAT WAS THE DOSAGE OF METOPROLOL TARTRATE THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 153141 | SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 153141 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 '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 WAS THE DOSAGE OF METOPROLOL TARTRATE THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 153141
# SQLQuery:
|
WHAT IS THE DRUG INTENSITY OF SALMETEROL XINAFOATE GIVEN TO THE PATIENT WITH AN ADMISSION ID = 108816 | 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 DRUG INTENSITY OF SALMETEROL XINAFOATE GIVEN TO THE PATIENT WITH AN ADMISSION ID = 108816
# SQLQuery:
|
FOR THE PATIENT HAVING AN ADMISSION ID = 110559, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR LAMOTRIGINE | SELECT PRESCRIPTIONS.ROUTE FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 110559 AND PRESCRIPTIONS.DRUG = "LAMOTRIGINE" | 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 = 110559, WHAT IS THE RECOMMENDED ROUTE OF DRUG ADMINISTRATION FOR LAMOTRIGINE
# SQLQuery:
|
WHAT IS THE DOSAGE OF POTASSIUM CHLORIDE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 108343 | SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 108343 AND PRESCRIPTIONS.DRUG = "POTASSIUM CHLORIDE" | 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 POTASSIUM CHLORIDE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 108343
# SQLQuery:
|
MENTION THE FORM OF REPAGLINIDE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 100759 | SELECT PRESCRIPTIONS.FORM_UNIT_DISP FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 100759 AND PRESCRIPTIONS.DRUG = "REPAGLINIDE" | 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: MENTION THE FORM OF REPAGLINIDE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 100759
# SQLQuery:
|
MENTION THE FORM OF PANTOPRAZOLE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 101665 | SELECT PRESCRIPTIONS.FORM_UNIT_DISP FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 101665 AND PRESCRIPTIONS.DRUG = "PANTOPRAZOLE" | 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: MENTION THE FORM OF PANTOPRAZOLE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 101665
# SQLQuery:
|
WHAT IS THE DOSAGE OF MICONAZOLE NITRATE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 100579 | 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 MICONAZOLE NITRATE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 100579
# SQLQuery:
|
WHAT IS THE DOSE OF SENNA THAT THE PATIENT WITH ADMISSION ID = 121702 HAS BEEN PRESCRIBED | SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 121702 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 '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 IS THE DOSE OF SENNA THAT THE PATIENT WITH ADMISSION ID = 121702 HAS BEEN PRESCRIBED
# SQLQuery:
|
WHAT IS THE DOSAGE OF DEXAMETHASONE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 104757 | 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 '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 DOSAGE OF DEXAMETHASONE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 104757
# SQLQuery:
|
WHAT IS THE DOSAGE OF NS PRESCRIBED TO THE PATIENT WITH ADMISSION ID 151483 | 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 NS PRESCRIBED TO THE PATIENT WITH ADMISSION ID 151483
# SQLQuery:
|
WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG SERTRALINE INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 123822 | SELECT PRESCRIPTIONS.ROUTE FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 123822 AND PRESCRIPTIONS.DRUG = "SERTRALINE" | 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 SERTRALINE INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 123822
# SQLQuery:
|
WHAT IS THE DRUG STRENGTH OF PREDNISONE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 115433 | SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 115433 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 '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 '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 STRENGTH OF PREDNISONE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 115433
# SQLQuery:
|
WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG VITAMIN D2 FOR PATIENT WITH ADMISSION ID 185800 | 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 '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 ROUTE OF ADMINISTRATION OF THE DRUG VITAMIN D2 FOR PATIENT WITH ADMISSION ID 185800
# SQLQuery:
|
MENTION THE DRUG INTENSITY OF PROAIR HFA PRESCRIBED TO THE PATIENT WHOSE ADMISSION ID IS 152612 | 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 DRUG INTENSITY OF PROAIR HFA PRESCRIBED TO THE PATIENT WHOSE ADMISSION ID IS 152612
# SQLQuery:
|
HOW LONG HAS THE PATIENT WITH ADMISSION ID = 113333 BEEN TAKING PACLITAXEL | 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 '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}
# Question: HOW LONG HAS THE PATIENT WITH ADMISSION ID = 113333 BEEN TAKING PACLITAXEL
# SQLQuery:
|
WHAT IS THE STRENGTH OF THE MEDICINE CIPROFLOXACIN TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 106967 | 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 '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}
# Question: WHAT IS THE STRENGTH OF THE MEDICINE CIPROFLOXACIN TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 106967
# SQLQuery:
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MENTION THE FORM OF METOPROLOL TARTRATE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 168331 | 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 FORM OF METOPROLOL TARTRATE TAKEN BY THE PATIENT HAVING AN ADMISSION ID = 168331
# SQLQuery:
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WHAT IS THE ROUTE OF ADMINISTRATION OF THE DRUG MORPHINE FOR PATIENT WITH ADMISSION ID 100039 | 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 MORPHINE FOR PATIENT WITH ADMISSION ID 100039
# SQLQuery:
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WHAT IS THE FORM OF LEVOFLOXACIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 102045 | SELECT PRESCRIPTIONS.FORM_UNIT_DISP FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 102045 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 '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 '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 LEVOFLOXACIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 102045
# SQLQuery:
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WHAT IS THE DRUG STRENGTH OF HEPARIN, PORCINE (PF) 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 '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 '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 HEPARIN, PORCINE (PF) PRESCRIBED TO THE PATIENT WITH ADMISSION ID 109617
# SQLQuery:
|
WHAT IS THE DRUG STRENGTH OF TORSEMIDE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 100039 | SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 100039 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 '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 TORSEMIDE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 100039
# SQLQuery:
|
WHAT IS THE DOSE OF NS THAT THE PATIENT WITH ADMISSION ID = 187736 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 '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 NS THAT THE PATIENT WITH ADMISSION ID = 187736 HAS BEEN PRESCRIBED
# SQLQuery:
|
WHAT IS THE DRUG STRENGTH OF FUROSEMIDE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 108901 | SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 108901 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 108901
# SQLQuery:
|
WHAT ARE THE LIST OF MEDICINES PRESCRIBED TO THE PATIENT WITH ADMISSION ID 108539 | SELECT PRESCRIPTIONS.DRUG FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 108539 | 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 '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 ARE THE LIST OF MEDICINES PRESCRIBED TO THE PATIENT WITH ADMISSION ID 108539
# SQLQuery:
|
WHAT WAS THE DOSAGE OF INSULIN REGULAR HUMAN THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 125281 | 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 '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 REGULAR HUMAN THAT WAS PRESCRIBED TO THE PATIENT WITH ADMISSION ID = 125281
# SQLQuery:
|
WHAT IS THE DRUG INTENSITY OF DOCUSATE SODIUM GIVEN TO THE PATIENT WITH AN ADMISSION ID = 175890 | SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 175890 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 '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 DOCUSATE SODIUM GIVEN TO THE PATIENT WITH AN ADMISSION ID = 175890
# SQLQuery:
|
WHAT IS THE FORM OF NITROGLYCERIN PRESCRIBED TO THE PATIENT WITH 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 '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 '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 FORM OF NITROGLYCERIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 100590
# SQLQuery:
|
WHAT IS THE DRUG STRENGTH OF COUMADIN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 141586 | 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 141586
# SQLQuery:
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WHAT IS THE DOSE OF ACETAMINOPHEN THAT THE PATIENT WITH ADMISSION ID = 109176 HAS BEEN PRESCRIBED | SELECT PRESCRIPTIONS.DOSE_VAL_RX, PRESCRIPTIONS.DOSE_UNIT_RX FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 109176 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 '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 '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 ACETAMINOPHEN THAT THE PATIENT WITH ADMISSION ID = 109176 HAS BEEN PRESCRIBED
# SQLQuery:
|
WHAT IS THE FORM OF POLYETHYLENE GLYCOL 3350 PRESCRIBED TO THE PATIENT WITH ADMISSION ID 109176 | 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 POLYETHYLENE GLYCOL 3350 PRESCRIBED TO THE PATIENT WITH ADMISSION ID 109176
# SQLQuery:
|
WHAT IS THE DOSAGE OF HUMALOG PRESCRIBED TO THE PATIENT WITH ADMISSION ID 116451 | 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 HUMALOG PRESCRIBED TO THE PATIENT WITH ADMISSION ID 116451
# SQLQuery:
|
WHAT IS THE DOSAGE OF OXYCODONE- ACETAMINOPHEN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 113524 | 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 '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 DOSAGE OF OXYCODONE- ACETAMINOPHEN PRESCRIBED TO THE PATIENT WITH ADMISSION ID 113524
# SQLQuery:
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WHAT IS THE DRUG STRENGTH OF LISINOPRIL PRESCRIBED TO THE PATIENT WITH ADMISSION ID 120301 | SELECT PRESCRIPTIONS.PROD_STRENGTH FROM PRESCRIPTIONS WHERE PRESCRIPTIONS.HADM_ID = 120301 AND PRESCRIPTIONS.DRUG = "LISINOPRIL" | 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_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 STRENGTH OF LISINOPRIL PRESCRIBED TO THE PATIENT WITH ADMISSION ID 120301
# SQLQuery:
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WHAT SHOULD BE THE MODE OF ENTRY OF THE DRUG SOLUMEDROL INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 102357 | 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 SOLUMEDROL INTO THE BODY OF THE PATIENT HAVING AN ADMISSION ID = 102357
# SQLQuery:
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WHAT IS THE DOSAGE OF COLACE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 104929 | 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_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 '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 COLACE PRESCRIBED TO THE PATIENT WITH ADMISSION ID 104929
# SQLQuery:
|