nmitchko/i2b2-query-data-1.0 · Datasets at Hugging Face

output stringlengths 926 21.5k	instruction stringlengths 45 1.08k
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Male@15:48:43</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Male</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Male\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Male</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all male patients in the i2b2 database with no specific timing constraints and a high level of accuracy.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>'Essential (Pri@14:05:17</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)'Essential (Primary) Hypertension' and 'Diabetes Mellitus (e08-e13)'</item_name> <item_key>masterid:4725</item_key> <tooltip>'Essential (Primary) Hypertension' and 'Diabetes Mellitus (e08-e13)'</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients with a diagnosis of essential (primary) hypertension and diabetes mellitus (e08-e13) in their medical records.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>(t) AsthmaAsthmaAsthma@20:18:13</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Asthma</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(J00-J99) Dise~45pn\(J40-J47) Chro~fbox\(J45) Asthma\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the respiratory system (j00-j99) \ Chronic lower respiratory diseases (j40-j47) \ Asthma</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <subquery_constraint> <first_query> <query_id>Observation A</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>FIRST</aggregate_operator> </first_query> <operator>LESS</operator> <second_query> <query_id>Observation B</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>LAST</aggregate_operator> </second_query> <span> <operator>GREATEREQUAL</operator> <span_value>800</span_value> <units>DAY</units> </span> </subquery_constraint> <subquery> <query_id>Observation A</query_id> <query_type>EVENT</query_type> <query_name>Observation A</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>0</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Asthma</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(J00-J99) Dise~45pn\(J40-J47) Chro~fbox\(J45) Asthma\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the respiratory system (j00-j99) \ Chronic lower respiratory diseases (j40-j47) \ Asthma</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </subquery> <subquery> <query_id>Observation B</query_id> <query_type>EVENT</query_type> <query_name>Observation B</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>0</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Asthma</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(J00-J99) Dise~45pn\(J40-J47) Chro~fbox\(J45) Asthma\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the respiratory system (j00-j99) \ Chronic lower respiratory diseases (j40-j47) \ Asthma</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </subquery> </ns4:query_definition> ```	I want to find all patients who have been diagnosed with asthma (ICD-9 code J45) within the specified time frame, where the first diagnosis of asthma occurred at least 80 days prior to the last diagnosis of asthma. The query looks for asthma diagnoses within the "Diagnoses" category, specifically under "Diseases of the respiratory system (j0-j9)" and "Chronic lower respiratory diseases (j40-j47)".
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>mild dementia@16:10:16</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>mild dementia</item_name> <item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\mild dementia\</item_key> <item_icon>LA</item_icon> <tooltip>oasis \ Clinical Measures \ Clinical Dementia Rating (CDR) \ mild dementia</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients with a diagnosis of mild dementia, based on the Clinical Dementia Rating (CDR) scale, with a high level of specificity and accuracy, at any time during their medical history.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>mild -Educa-Deriv@16:33:23</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>mild dementia</item_name> <item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\mild dementia\</item_key> <item_icon>LA</item_icon> <tooltip>oasis \ Clinical Measures \ Clinical Dementia Rating (CDR) \ mild dementia</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Education</item_name> <item_key>\\BIRN\BIRN\oasis\Demographics\Education\</item_key> <item_icon>FA</item_icon> <tooltip>oasis \ Demographics \ Education</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Derived Anatomic Volumes</item_name> <item_key>\\BIRN\BIRN\oasis\Derived Anatomic Volumes\</item_key> <item_icon>FA</item_icon> <tooltip>oasis \ Derived Anatomic Volumes</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients with a diagnosis of mild dementia, who have a record of their education level, and have had their derived anatomic volumes measured, at any point in time.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Atrial -Gender@13:13:41</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Atrial fibrillation and flutter</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I30-I52) Othe~w6tz\(I48) Atrial f~wiu4\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Other forms of heart disease (i30-i52) \ Atrial fibrillation and flutter</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Gender</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\</item_key> <item_icon>FA</item_icon> <tooltip>Demographic \ Gender</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all instances of Atrial fibrillation and flutter diagnoses in the ICD10-ICD9 Diagnoses section (codes I30-I52) along with the corresponding gender information from the Demographics section of the i2b2 data model.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Male-Ischemi@12:38:38</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Male</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Male\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Male</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Ischemic heart disease</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Ischemic heart disease (410-414)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Ischemic heart disease</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find male patients with a diagnosis of ischemic heart disease.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Male-Ischemi@12:39:31</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Male</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Male\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Male</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Ischemic heart disease</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Ischemic heart disease (410-414)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Ischemic heart disease</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find male patients with a diagnosis of ischemic heart disease.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Certain-Bacteri@08:03:19</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>1</hlevel> <item_name>Certain infectious and parasitic diseases (a00-b99)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(A00-B99) Cert~ugmm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Certain infectious and parasitic diseases (a00-b99)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Bacterial and viral infectious agents (b95-b97)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(A00-B99) Cert~ugmm\(B95-B97) Bact~28iq\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Certain infectious and parasitic diseases (a00-b99) \ Bacterial and viral infectious agents (b95-b97)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all diagnoses related to certain infectious and parasitic diseases (ICD10 codes A0-B9) including bacterial and viral infectious agents (ICD10 codes B95-B97) with a high level of specificity (100) and no time restriction.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>mild - 55--Femal@16:34:52</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>mild dementia</item_name> <item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\mild dementia\</item_key> <item_icon>LA</item_icon> <tooltip>oasis \ Clinical Measures \ Clinical Dementia Rating (CDR) \ mild dementia</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find female patients aged 5-64 years old who have been diagnosed with mild dementia.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>(t) AsthmaAsthmaAsthma@20:18:01</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Asthma</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(J00-J99) Dise~45pn\(J40-J47) Chro~fbox\(J45) Asthma\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the respiratory system (j00-j99) \ Chronic lower respiratory diseases (j40-j47) \ Asthma</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <subquery_constraint> <first_query> <query_id>Observation A</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>FIRST</aggregate_operator> </first_query> <operator>LESS</operator> <second_query> <query_id>Observation B</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>LAST</aggregate_operator> </second_query> <span> <operator>GREATEREQUAL</operator> <span_value>8</span_value> <units>DAY</units> </span> </subquery_constraint> <subquery> <query_id>Observation A</query_id> <query_type>EVENT</query_type> <query_name>Observation A</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>0</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Asthma</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(J00-J99) Dise~45pn\(J40-J47) Chro~fbox\(J45) Asthma\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the respiratory system (j00-j99) \ Chronic lower respiratory diseases (j40-j47) \ Asthma</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </subquery> <subquery> <query_id>Observation B</query_id> <query_type>EVENT</query_type> <query_name>Observation B</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>0</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Asthma</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(J00-J99) Dise~45pn\(J40-J47) Chro~fbox\(J45) Asthma\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the respiratory system (j00-j99) \ Chronic lower respiratory diseases (j40-j47) \ Asthma</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </subquery> </ns4:query_definition> ```	I want to find patients who have been diagnosed with asthma (ICD10_ICD9: J45) within the same instance number as another query (Observation A) and within a time frame of 8 days before or after the diagnosis of asthma (Observation B). The specificity scale is set to 0, indicating that all instances of asthma diagnoses will be included, and the accuracy scale for both panels is set to 10, meaning that the diagnosis must be accurate. The query will search for occurrences of asthma in the "Diagnoses" section of the medical record, specifically under "Diseases of the respiratory system (j0-j9)" and "Chronic lower respiratory diseases (j40-j47)".
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>(t) AsthmaAsthmaAsthma@20:19:01</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Asthma</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(J00-J99) Dise~45pn\(J40-J47) Chro~fbox\(J45) Asthma\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the respiratory system (j00-j99) \ Chronic lower respiratory diseases (j40-j47) \ Asthma</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <subquery_constraint> <first_query> <query_id>Observation A</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>FIRST</aggregate_operator> </first_query> <operator>LESS</operator> <second_query> <query_id>Observation B</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>LAST</aggregate_operator> </second_query> <span> <operator>GREATEREQUAL</operator> <span_value>2000</span_value> <units>DAY</units> </span> </subquery_constraint> <subquery> <query_id>Observation A</query_id> <query_type>EVENT</query_type> <query_name>Observation A</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>0</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Asthma</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(J00-J99) Dise~45pn\(J40-J47) Chro~fbox\(J45) Asthma\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the respiratory system (j00-j99) \ Chronic lower respiratory diseases (j40-j47) \ Asthma</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </subquery> <subquery> <query_id>Observation B</query_id> <query_type>EVENT</query_type> <query_name>Observation B</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>0</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Asthma</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(J00-J99) Dise~45pn\(J40-J47) Chro~fbox\(J45) Asthma\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the respiratory system (j00-j99) \ Chronic lower respiratory diseases (j40-j47) \ Asthma</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </subquery> </ns4:query_definition> ```	I want to find patients who have been diagnosed with asthma (ICD-9 code: 493) within 20 days of the start date of the observation window, with a specificity scale of 0, and a panel accuracy scale of 100, using the panel named "AsthmaAsthmaAsthma@20:19:01" with a subquery constraint that checks if the first query's start date is less than or equal to 20 days from the second query's last date, using the same instance number for both subqueries.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Diseases of eso@16:40:12</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Diseases of esophagus</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\(530) Diseases of esophagus\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Digestive system \ Diseases of esophagus</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all diagnoses related to diseases of the esophagus in the ICD-10-CM code range 530, within the Digestive System category, using the I2b2 query builder with a specificity scale of 0 and a total item occurrence of 1. The query should be applied to any time period (ANY timing) and have an accuracy scale of 100.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Ischemi-Male@09:46:43</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Ischemic heart disease</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Ischemic heart disease (410-414)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Ischemic heart disease</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Male</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Male\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Male</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all male patients with a diagnosis of ischemic heart disease.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18-34-Acute p@21:42:53</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients aged between 18-64 years old who have been diagnosed with acute pancreatitis.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18-34-Acute p@21:43:20</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find encounters for patients aged 18-34, 35-44, or 45-54 years old with a diagnosis of acute pancreatitis.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18--Hyper-HMG-C@21:50:09</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 65-74 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>>= 65 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 65 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ >= 65 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 75-84 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 75-84 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>>= 85 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 85 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ >= 85 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>HMG-CoA reductase inhibitors</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all patients between the ages of 18-85 years old who have been diagnosed with hyperlipidemia and have been prescribed HMG-CoA reductase inhibitors at any time during their medical history.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Blood Gases/Oxi@16:45:07</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Blood Gases/Oximetry</item_name> <item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\(LLB72) Blood Gases/Oximetry\</item_key> <item_icon>FA</item_icon> <tooltip>Labtests \ Chemistry \ Blood Gases/Oximetry</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all instances of blood gases/oximetry measurements within the i2b2 database, with any timing constraint, and a specificity scale of 0, using a panel with a single item at level 3, named "Blood Gases/Oximetry," with an accuracy scale of 10, and a unique occurrence count of 1. The key for this item is "\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\(LLB72) Blood Gases/Oximetry\", and it is not a synonym.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Diabetes Mellit@13:58:23</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Diabetes Mellitus</item_name> <item_key>masterid:5375</item_key> <tooltip>Diabetes Mellitus</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Diabetes Mellitus</item_name> <item_key>masterid:5373</item_key> <tooltip>Diabetes Mellitus</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```	I want to find all patients with a diagnosis of Diabetes Mellitus, including both the masterid:535 and masterid:5333 codes, with no specific timing constraint and a high accuracy level of 100%, and the results should include both the main query term and its synonyms.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Femal-Hyper-Diabe@21:53:37</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Hypertension</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Injury and poisoning (800-999)\Complications of medical care (996-999)\(997) Complications affecting spe~\(997-9) Complications affecting o~\(997-91) Hypertension\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Complications affecting specified body systems, not elsewhere classified \ Complications affecting other specified body systems, not elsewhere classified \ Hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-00) type II diabetes mellitu~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}fied type, not stated as uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find female patients with a diagnosis of hypertension and type II diabetes mellitus, without any specified complications, within the i2b2 data repository.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Female-Diabete@21:54:37</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-00) type II diabetes mellitu~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}fied type, not stated as uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find female patients with a diagnosis of type II diabetes mellitus without mention of complications, at any time in their medical record.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Femal-Prima-Diabe@21:59:52</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Primary hypertension NOS</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\(401) Essential hypertension\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Hypertensive disease \ Essential hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-00) type II diabetes mellitu~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}fied type, not stated as uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find female patients with primary hypertension and type II diabetes mellitus, without mention of complications, at any time during their medical history.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Medications@16:25:41</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>1</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>1</hlevel> <item_name>Medications</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\</item_key> <item_icon>FA</item_icon> <tooltip>Medications</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all patients who have ever had any medication recorded in their electronic health record.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Pneumonia due t@20:45:53</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Pneumonia due to sars-associated coronavirus</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(J00-J99) Dise~45pn\(J09-J18) Infl~7z2l\(J12) Viral pn~6io0\(J12.8) Other~euj2\(J12.81) Pneum~f4r6\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Diseases of the respiratory system (j00-j99) \ Influenza and pneumonia (j09-j18) \ Viral pneumonia, not elsewhere classified \ Other viral pneumonia \ Pneumonia due to sars-associated coronavirus</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find cases of Pneumonia due to SARS-associated coronavirus (J12.81) in the ICD10-ICD9 Diagnoses category, specifically within the subcategory of Diseases of the respiratory system (J00-J9), Influenza and pneumonia (J09-J18), and Other viral pneumonia (J12.8). The specificity scale is set to 0, meaning the query will search for all possible matches, and the query timing is set to ANY, indicating that the search will include past, present, and future occurrences. The panel's accuracy scale is set to 100, meaning the highest level of accuracy is desired, and the panel number and total item occurrences are both set to 1, indicating that only one item is being searched for. The invert parameter is set to 0, meaning the query will search for positive matches only. The query name is "Pneumonia due t@20:45:53" and the tooltip provides additional information on the query structure.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Femal-Diabe-Hyper@21:56:00</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-00) type II diabetes mellitu~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}fied type, not stated as uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Hypertension</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Injury and poisoning (800-999)\Complications of medical care (996-999)\(997) Complications affecting spe~\(997-9) Complications affecting o~\(997-91) Hypertension\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Complications affecting specified body systems, not elsewhere classified \ Complications affecting other specified body systems, not elsewhere classified \ Hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find female patients with a diagnosis of type II diabetes mellitus and hypertension, without any specified time constraints.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Female-Hyperte@21:56:09</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Hypertension</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Injury and poisoning (800-999)\Complications of medical care (996-999)\(997) Complications affecting spe~\(997-9) Complications affecting o~\(997-91) Hypertension\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Complications affecting specified body systems, not elsewhere classified \ Complications affecting other specified body systems, not elsewhere classified \ Hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find female patients with a diagnosis of hypertension in the i2b2 database.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 35-44-Acute p@22:01:56</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find encounters where the patient's age is between 18 and 34 years old and has been diagnosed with acute pancreatitis.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18--Livin-Acute@22:10:13</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Living</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ Living</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find encounters where the patient's age is between 18 and 64 years old, excluding ages 18 and 64, and the patient is currently living, with a diagnosis of acute pancreatitis.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>(t) FemaleAbdominal painAsthma@16:23:34</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Male</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Male\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Male</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <subquery_constraint> <first_query> <query_id>Event 1</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>FIRST</aggregate_operator> </first_query> <operator>LESS</operator> <second_query> <query_id>Event 2</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>FIRST</aggregate_operator> </second_query> <span> <operator>GREATEREQUAL</operator> <span_value>1</span_value> <units>YEAR</units> </span> </subquery_constraint> <subquery> <query_id>Event 1</query_id> <query_type>EVENT</query_type> <query_name>Event 1</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Abdominal pain</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Symptoms, signs, and ill-defined conditions (780-799)\Symptoms (780-789)\(789) Other symptoms involving ab~\(789-0) Abdominal pain\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Symptoms, signs, and ill-defined conditions \ Symptoms \ Other symptoms involving abdomen and pelvis \ Abdominal pain</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </subquery> <subquery> <query_id>Event 2</query_id> <query_type>EVENT</query_type> <query_name>Event 2</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Asthma</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Respiratory system (460-519)\Chronic obstructive diseases (490-496)\(493) Asthma\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Respiratory system \ Chronic obstructive diseases \ Asthma</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </subquery> </ns4:query_definition> ```	I want to find patients who are female, have experienced abdominal pain, and have been diagnosed with asthma at any time, with a span of at least one year between the two events.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 35-44-Acute p@22:01:42</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients between the ages of 18-64 years old who have been diagnosed with acute pancreatitis.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 35--Femal-Breas@22:15:32</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 65-74 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 75-84 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 75-84 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>>= 65 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 65 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ >= 65 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>>= 85 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 85 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ >= 85 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Breast cancer, female</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neoplasms (140-239)\Malignant neoplasms (140-208)\Bone, connective tissue, skin, and breast (170-176)\(174) Malignant neoplasm of femal~\(174-9) Malignant neoplasm of bre~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Bone, connective tissue, skin, and breast \ Malignant neoplasm of female breast \ Malignant neoplasm of breast (female), unspecified</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all female patients aged 35-85 years old who have been diagnosed with breast cancer.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18-34-Acute p@22:21:23</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find encounters of patients aged 18-34, 35-44, or 45-54 years old with a diagnosis of acute pancreatitis in the i2b2 database.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Gender-Hematol@10:52:18</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Gender</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\</item_key> <item_icon>FA</item_icon> <tooltip>Demographic \ Gender</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Hematology</item_name> <item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB53) Hematology\</item_key> <item_icon>FA</item_icon> <tooltip>Labtests \ Hematology</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all patients with demographic information on gender and hematology lab test results available in the database.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Princip-Seconda@15:12:59</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Circulatory system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Principal Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Circulatory system (390-459)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>1</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Hypertensive diseases (i10-i15)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15)</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Secondary Diagnosis</modifier_name> <modifier_key>\\ICD10_ICD9\Secondary Diagnosis\</modifier_key> <applied_path>\Diagnoses\(I00-I99) Dise~3w8h\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all patients with a principal diagnosis related to the circulatory system (codes 390-459) and no secondary diagnosis related to hypertensive diseases (codes i0-i9) in the i2b2 database.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18-34-Acute p@22:13:00</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find encounters for patients aged 5-64 years old with a diagnosis of acute pancreatitis, specifically those who are 5, 6, 7, 8, 9, 10, 111, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 222, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 333, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 5
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18--Hyper-HMG-C@22:26:13</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 65-74 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 75-84 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 75-84 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>>= 85 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 85 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ >= 85 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>HMG-CoA reductase inhibitors</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients who are 18-34 years old, 35-44 years old, 45-54 years old, 555-64 years old, 65-74 years old, or 75 years old and older, who have been diagnosed with hyperlipidemia and have been prescribed HMG-CoA reductase inhibitors.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Femal-Diabe-Hyper@22:40:03</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-00) type II diabetes mellitu~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}fied type, not stated as uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Hypertension</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Injury and poisoning (800-999)\Complications of medical care (996-999)\(997) Complications affecting spe~\(997-9) Complications affecting o~\(997-91) Hypertension\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Complications affecting specified body systems, not elsewhere classified \ Complications affecting other specified body systems, not elsewhere classified \ Hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find female patients with a diagnosis of type II diabetes mellitus and a complication of hypertension at any time in their medical record.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Maligna-Cancer @18:33:45</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Malignant neoplasm of thymus, heart, and mediastinum</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neoplasms (140-239)\Malignant neoplasms (140-208)\Respiratory and intrathorasic organs (160-165)\(164) Malignant neoplasm of thymu~\</item_key> <item_icon>FA</item_icon> <tooltip>Malignant neoplasm of thymus, heart, and mediastinum</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Cancer of epicardium</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neoplasms (140-239)\Malignant neoplasms (140-208)\Respiratory and intrathorasic organs (160-165)\(164) Malignant neoplasm of thymu~\(164-1) Malignant neoplasm of hea~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Malignant neoplasms \ Respiratory and intrathorasic organs \ Malignant neoplasm of thymus, heart, and mediastinum \ Malignant neoplasm of heart</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients with a diagnosis of malignant neoplasm of the thymus, heart, and mediastinum, as well as those with a diagnosis of cancer of the epicardium, using the i2b2 query builder with specificity scale set to 0, accuracy scale set to 100, and panel timing set to ANY.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Femal-Hyper-Diabe@22:39:30</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Hypertension</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Injury and poisoning (800-999)\Complications of medical care (996-999)\(997) Complications affecting spe~\(997-9) Complications affecting o~\(997-91) Hypertension\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Complications affecting specified body systems, not elsewhere classified \ Complications affecting other specified body systems, not elsewhere classified \ Hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-00) type II diabetes mellitu~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}fied type, not stated as uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find female patients with a history of hypertension and type II diabetes mellitus (non-insulin dependent, not stated as uncontrolled, without mention of complications) with any timing and at any level of specificity.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Femal-Hyper-Diabe@22:44:43</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Hypertension</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\(401) Essential hypertension\(401-9) Unspecified essential hyp~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Hypertensive disease \ Essential hypertension \ Unspecified essential hypertension</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-00) type II diabetes mellitu~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}fied type, not stated as uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find female patients with unspecified essential hypertension and type II diabetes mellitus (non-insulin dependent, not stated as uncontrolled, without mention of complication) diagnoses, without any specific time frame or accuracy preference.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Male-LYMPHS @10:36:38</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Male</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Male\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Male</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>LYMPHS (LOINC:736-9)</item_name> <item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB53) Hematology\(LLB55) Blood Differential %\LYMPHS\LOINC:736-9\</item_key> <item_icon>LA</item_icon> <tooltip>Labtests \ Hematology \ Blood Differential% \ Lymphocytes - Auto (Group:LYMPHS) \ Lymphs (LOINC:736-9)</tooltip> <class>ENC</class> <constrain_by_value> <value_operator>LT</value_operator> <value_constraint>50</value_constraint> <value_unit_of_measure>%</value_unit_of_measure> <value_type>NUMBER</value_type> </constrain_by_value> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all male patients with a lymphocyte percentage (LYMPHS) result lower than 50% at any time.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>PATIENT_ENCOUNT@17:43:30</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>Encounter Set for "'Essential (Pri@13:56:20"Encounter setFINISHED</item_name> <item_key>patient_set_enc_id:17465</item_key> <tooltip>Encounter Set for "'Essential (Pri@13:56:20"Encounter setFINISHED</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all patients who have had an encounter with the "Essential (Pri@13:56:20" Encounter set that was finished at any time, with a specificity scale of 0 and an accuracy scale of 100.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Femal-Diabe-Hyper@22:41:14</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-00) type II diabetes mellitu~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}fied type, not stated as uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Hypertension</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Injury and poisoning (800-999)\Complications of medical care (996-999)\(997) Complications affecting spe~\(997-9) Complications affecting o~\(997-91) Hypertension\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Complications affecting specified body systems, not elsewhere classified \ Complications affecting other specified body systems, not elsewhere classified \ Hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find female patients with a diagnosis of type II diabetes mellitus and a complication of hypertension within the specified timeframe.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Male@10:35:12</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Male</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Male\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Male</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all male patients in the i2b2 dataset with no specific time frame or accuracy requirement, using the "Male" demographic attribute within the "Demographics" panel.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Male-LYMPHS @10:36:12</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Male</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Male\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Male</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>LYMPHS (LOINC:736-9)</item_name> <item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB53) Hematology\(LLB55) Blood Differential %\LYMPHS\LOINC:736-9\</item_key> <item_icon>LA</item_icon> <tooltip>Labtests \ Hematology \ Blood Differential% \ Lymphocytes - Auto (Group:LYMPHS) \ Lymphs (LOINC:736-9)</tooltip> <class>ENC</class> <constrain_by_value> <value_operator>LT</value_operator> <value_constraint>100</value_constraint> <value_unit_of_measure>%</value_unit_of_measure> <value_type>NUMBER</value_type> </constrain_by_value> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all male patients with a lymphocyte count of less than 10% in their blood differential test results.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>PATIENT_ENCOUNT@17:44:15</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>Encounter Set for "'Essential (Pri@13:56:20"Encounter setFINISHED</item_name> <item_key>patient_set_enc_id:17465</item_key> <tooltip>Encounter Set for "'Essential (Pri@13:56:20"Encounter setFINISHED</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all patients who have had an encounter with the specified encounter set, "Essential (Pri@13:56:20" Encounter setFINISHED", at any time, with a specificity scale of 0 and an accuracy scale of 100, using a single panel with invert set to 0, and only one item occurrence.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>>= 65-Pain -Black@10:07:13</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>>= 65 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 65 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ >= 65 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Pain in throat and chest</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(R00-R99) Symp~mt2x\(R00-R09) Symp~evaq\(R07) Pain in~95zu\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Symptoms, signs and abnormal clinical and laboratory findings, not elsewhere classified (r00-r99) \ Symptoms and signs involving the circulatory and respiratory systems (r00-r09) \ Pain in throat and chest</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Black</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Race\Black\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Race \ Black</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients who are 65 years old or older, have experienced pain in their throat and chest, and are of Black race.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Male-LYMPHS @10:39:01</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Male</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Male\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Male</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Unknown</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Unknown\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Gender \ not recorded</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>LYMPHS (LOINC:736-9)</item_name> <item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB53) Hematology\(LLB55) Blood Differential %\LYMPHS\LOINC:736-9\</item_key> <item_icon>LA</item_icon> <tooltip>Labtests \ Hematology \ Blood Differential% \ Lymphocytes - Auto (Group:LYMPHS) \ Lymphs (LOINC:736-9)</tooltip> <class>ENC</class> <constrain_by_value> <value_operator>LT</value_operator> <value_constraint>50</value_constraint> <value_unit_of_measure>%</value_unit_of_measure> <value_type>NUMBER</value_type> </constrain_by_value> <constrain_by_date> <date_from>1979-12-01T00:00:00.000-05:00</date_from> <date_to>2020-09-11T00:00:00.000-05:00</date_to> </constrain_by_date> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all male patients with low lymphocyte levels (less than 50%) in their blood differential test results within the specified date range.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>LYMPHS -Gender@10:47:53</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>LYMPHS (LOINC:736-9)</item_name> <item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB53) Hematology\(LLB55) Blood Differential %\LYMPHS\LOINC:736-9\</item_key> <item_icon>LA</item_icon> <tooltip>Labtests \ Hematology \ Blood Differential% \ Lymphocytes - Auto (Group:LYMPHS) \ Lymphs (LOINC:736-9)</tooltip> <class>ENC</class> <constrain_by_value> <value_operator>LT</value_operator> <value_constraint>50</value_constraint> <value_unit_of_measure>%</value_unit_of_measure> <value_type>NUMBER</value_type> </constrain_by_value> <constrain_by_date> <date_from>1979-12-01T00:00:00.000-05:00</date_from> <date_to>2020-09-11T00:00:00.000-05:00</date_to> </constrain_by_date> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Gender</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\</item_key> <item_icon>FA</item_icon> <tooltip>Demographic \ Gender</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all patients who have had a Lymphocytes (LOINC:736-9) lab test result below 50% within the date range of 1979-12-01 to 2020-09-01 and whose gender is recorded in the database.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>>= 65-Monon-Black@10:05:55</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>>= 65 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 65 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ >= 65 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Mononeuritis of unspecified site</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neurologic Disorders (320-389)\Peripheral nerve disorders (350-359)\(355) Mononeuritis of lower limb\(355-9) Mononeuritis of unspecifi~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Neurologic Disorders \ Peripheral nerve disorders \ Mononeuritis of lower limb \ Mononeuritis of unspecified site</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Black</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Race\Black\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Race \ Black</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients who are 65 years old or older, have been diagnosed with Mononeuritis of unspecified site, and are of Black race.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>PATIENT:HIVE:10@17:45:29</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>PATIENT:HIVE:1000000045</item_name> <item_key>PATIENT:HIVE:1000000045</item_key> <tooltip>PATIENT:HIVE:1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all patients with the identifier "HIVE:1000000045" in the i2b2 database, with no specific time constraints, and the results should have 1000% accuracy, and the query is not inverted. The panel will only contain one item, which is the specified patient identifier, and the specificity scale is set to 0.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>mild dementia@12:15:16</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>mild dementia</item_name> <item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\mild dementia\</item_key> <item_icon>LA</item_icon> <tooltip>oasis \ Clinical Measures \ Clinical Dementia Rating (CDR) \ mild dementia</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all patients who have been diagnosed with mild dementia at any time, as indicated by the Clinical Dementia Rating (CDR) scale, within the Oasis Clinical Measures section of the BIRN (Bioinformatics Research Network) database.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Male-LYMPHS @10:41:37</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Male</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Male\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Male</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Unknown</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Unknown\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Gender \ not recorded</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>LYMPHS (LOINC:736-9)</item_name> <item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB53) Hematology\(LLB55) Blood Differential %\LYMPHS\LOINC:736-9\</item_key> <item_icon>LA</item_icon> <tooltip>Labtests \ Hematology \ Blood Differential% \ Lymphocytes - Auto (Group:LYMPHS) \ Lymphs (LOINC:736-9)</tooltip> <class>ENC</class> <constrain_by_value> <value_operator>LT</value_operator> <value_constraint>50</value_constraint> <value_unit_of_measure>%</value_unit_of_measure> <value_type>NUMBER</value_type> </constrain_by_value> <constrain_by_date> <date_from>1979-12-01T00:00:00.000-05:00</date_from> <date_to>2020-09-11T00:00:00.000-05:00</date_to> </constrain_by_date> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all male patients with lymphocyte percentage (LYMPHS) less than 50% in their blood differential test results, with no specific time constraints.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>PATIENT:HIVE:10@17:46:19</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>PATIENT:HIVE:1000000045</item_name> <item_key>PATIENT:HIVE:1000000045</item_key> <tooltip>PATIENT:HIVE:1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)'Essential (Primary) Hypertension' and 'Diabetes Mellitus (e08-e13)'</item_name> <item_key>masterid:4725</item_key> <tooltip>'Essential (Primary) Hypertension' and 'Diabetes Mellitus (e08-e13)'</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients with both Essential (Primary) Hypertension and Diabetes Mellitus (e08-e13) in the database, with no specific time frame or accuracy requirement.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>PATIENT:HIVE:10@17:47:38</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>SAMEVISIT</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>PATIENT:HIVE:1000000045</item_name> <item_key>PATIENT:HIVE:1000000045</item_key> <tooltip>PATIENT:HIVE:1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)'Essential (Primary) Hypertension' and 'Diabetes Mellitus (e08-e13)'</item_name> <item_key>masterid:4725</item_key> <tooltip>'Essential (Primary) Hypertension' and 'Diabetes Mellitus (e08-e13)'</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients with a diagnosis of Essential (Primary) Hypertension and Diabetes Mellitus (e08-e13) during the same visit with a specificity scale of 0 and a panel accuracy scale of 1000%.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Metab-Hormo-Relig@16:25:20</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Metabolic disorders (e70-e88)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E70-E88) Meta~6ibb\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Metabolic disorders (e70-e88)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Hormones</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME148) hormones\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ hormones</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Religion</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Religion\</item_key> <item_icon>FA</item_icon> <tooltip>Demographic \ Religion</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients with diagnoses of metabolic disorders (ICD10-ICD9 codes E70-E8), who have been prescribed hormone medications (Medications-LME148), and have a specified religion in their demographic information. The query will search for these conditions at any time and with a high accuracy level.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Female@11:21:06</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all female patients in the i2b2 dataset, with no specific time constraints, using the Demographics panel and the Gender node, with a high accuracy scale of 100 and without inverting the results.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>PATIENT:HIVE:10@17:48:09</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>SAMEVISIT</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>1</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>PATIENT:HIVE:1000000045</item_name> <item_key>PATIENT:HIVE:1000000045</item_key> <tooltip>PATIENT:HIVE:1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)'Essential (Primary) Hypertension' and 'Diabetes Mellitus (e08-e13)'</item_name> <item_key>masterid:4725</item_key> <tooltip>'Essential (Primary) Hypertension' and 'Diabetes Mellitus (e08-e13)'</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients with both essential (primary) hypertension and diabetes mellitus (e08-e13) at the same visit with a specificity scale of 0 and a panel accuracy scale of 100. The query is named PATIENT:HIVE:10@17:48:09 and has a single panel with the panel number 1 and a panel timing of SAMEVISIT. The query should exclude the item PATIENT:HIVE:1000000045, as indicated by the invert value of 1.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>(PrevQuery)Visi@17:49:09</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>undefined</item_name> <item_key>masterid:4723</item_key> <tooltip>(PrevQuery)Visit type@19:07:12</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>undefined</item_name> <item_key>masterid:4722</item_key> <tooltip>(PrevQuery)Femal-Hyper-type @10:24:08</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>undefined</item_name> <item_key>masterid:4707</item_key> <tooltip>(PrevQuery)Femal-Essen-Diabe@08:41:10</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>undefined</item_name> <item_key>masterid:4699</item_key> <tooltip>(PrevQuery)Femal-Hyper-Type @21:08:47</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>undefined</item_name> <item_key>masterid:4698</item_key> <tooltip>(PrevQuery) 18--Hyper-HMG-C@21:00:16</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>undefined</item_name> <item_key>masterid:4691</item_key> <tooltip>(PrevQuery)Visit-Essen-Dia@18:29:26</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>undefined</item_name> <item_key>masterid:4690</item_key> <tooltip>(PrevQuery)Visit-Essen-Dia@18:28:56</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>undefined</item_name> <item_key>masterid:4689</item_key> <tooltip>(PrevQuery)Visit-Essen-Dia@18:28:43</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>undefined</item_name> <item_key>masterid:4683</item_key> <tooltip>(PrevQuery)Essen-Diabe-Ins@18:18:41</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>undefined</item_name> <item_key>masterid:4680</item_key> <tooltip>(PrevQuery)Diabetes mellit@18:13:14</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients with a visit type of "Female" and a diagnosis of "Hyperthyroidism" or "Diabetes Mellitus" within a specific time frame (ANY), with a high level of accuracy (1000%) and specificity (0), where the panel includes items such as "Visit type", "Female-Hyper-type", "Female-Essen-Diabe", "Hyper-HMG-C", "Visit-Essen-Dia", "Visit-Essen-Dia", "Visit-Essen-Dia", "Essen-Diabe-Ins", and "Diabetes mellitus".
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18--Femal-Endoc@16:05:26</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Endocervical biopsy</item_name> <item_key>\\i2b2_PROC\i2b2\Procedures\PRC\ICD9 (Inpatient)\(65-71) Operations on female genital system\(p67) Operations on cervix\(p67-1) Diagnostic procedures on ~\(p67-11) Endocervical biopsy\</item_key> <item_icon>LA</item_icon> <tooltip>Procedures \ ICD9 (Inpatient) \ Operations on female genital system \ Operations on cervix \ Diagnostic procedures on cervix \ Endocervical biopsy</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find female patients aged 18-64 years old who have had an endocervical biopsy procedure performed.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>(t) FemaleHeadacheAsthma@16:23:54</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Male</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Male\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Male</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <subquery_constraint> <first_query> <query_id>Event 1</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>FIRST</aggregate_operator> </first_query> <operator>LESS</operator> <second_query> <query_id>Event 2</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>FIRST</aggregate_operator> </second_query> <span> <operator>GREATEREQUAL</operator> <span_value>1</span_value> <units>YEAR</units> </span> </subquery_constraint> <subquery> <query_id>Event 1</query_id> <query_type>EVENT</query_type> <query_name>Event 1</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Headache</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Symptoms, signs, and ill-defined conditions (780-799)\Symptoms (780-789)\(784) Symptoms involving head and~\(784-0) Headache\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Symptoms, signs, and ill-defined conditions \ Symptoms \ Symptoms involving head and neck \ Headache</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </subquery> <subquery> <query_id>Event 2</query_id> <query_type>EVENT</query_type> <query_name>Event 2</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Asthma</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Respiratory system (460-519)\Chronic obstructive diseases (490-496)\(493) Asthma\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Respiratory system \ Chronic obstructive diseases \ Asthma</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </subquery> </ns4:query_definition> ```	I want to find female patients who have had a headache diagnosis and an asthma diagnosis within the same instance number, with the headache diagnosis occurring first and the asthma diagnosis occurring within one year after the headache diagnosis.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>(t) FemaleCoughAsthma@16:24:48</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Male</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Male\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Male</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <subquery_constraint> <first_query> <query_id>Event 1</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>FIRST</aggregate_operator> </first_query> <operator>LESS</operator> <second_query> <query_id>Event 2</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>FIRST</aggregate_operator> </second_query> <span> <operator>GREATEREQUAL</operator> <span_value>1</span_value> <units>YEAR</units> </span> </subquery_constraint> <subquery> <query_id>Event 1</query_id> <query_type>EVENT</query_type> <query_name>Event 1</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Cough</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Symptoms, signs, and ill-defined conditions (780-799)\Symptoms (780-789)\(786) Symptoms involving respirat~\(786-2) Cough\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Symptoms, signs, and ill-defined conditions \ Symptoms \ Symptoms involving respiratory system and other chest symptoms \ Cough</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </subquery> <subquery> <query_id>Event 2</query_id> <query_type>EVENT</query_type> <query_name>Event 2</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Asthma</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Respiratory system (460-519)\Chronic obstructive diseases (490-496)\(493) Asthma\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Respiratory system \ Chronic obstructive diseases \ Asthma</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </subquery> </ns4:query_definition> ```	I want to find female patients who have experienced cough and asthma events within the same encounter or within the same instance number, with the first event occurring at least one year prior to the second event.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Essenti-Diabete@18:50:51</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients with a diagnosis of essential (primary) hypertension (ICD10/ICD9 code I10) and diabetes mellitus (ICD10/ICD9 code E08-E13) within the specified timeframe (ANY). The specificity scale is set to 0, indicating that all occurrences of these diagnoses should be included, and the accuracy scale is set to 10, indicating that both conditions must be present for the patient to be included in the query results.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Essenti-Diabete@18:56:37</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients who have been diagnosed with Essential (primary) hypertension (ICD10 code I10) and Diabetes mellitus (ICD10 code E08-E13) at any time during their medical history, with a high level of specificity and accuracy.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Essenti-Diabete@18:57:58</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients with a diagnosis of essential (primary) hypertension (I10) and diabetes mellitus (E08-E13) with any timing and 100% accuracy scale for both conditions.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Essen-D-Person_@19:13:45</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Essen-Diabe-Perso@19:02:12</item_name> <item_key>masterid:4625</item_key> <tooltip>Essen-Diabe-Perso@19:02:12</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Person_#1000000045</item_name> <item_key>masterid:3740</item_key> <tooltip>Person_#1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find a query that combines the results of two previous queries, Essen-Diabe-Perso@19:02:12 and Person_#1000000045, with any timing and 100% accuracy, and displays the results in two panels. The first panel will have the Essen-Diabe-Perso@19:02:12 query results, and the second panel will have the Person_#100000045 query results. The query is not a synonym and has a specificity scale of 0.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Essen-D-Person_@19:14:11</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>1</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Essen-Diabe-Perso@19:02:12</item_name> <item_key>masterid:4625</item_key> <tooltip>Essen-Diabe-Perso@19:02:12</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Person_#1000000045</item_name> <item_key>masterid:3740</item_key> <tooltip>Person_#1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients who have been diagnosed with diabetes (Essen-Diabe-Perso@19:02:12) and have a master id of 4652, but not patients with the identifier Person_#100000045 (PrevQuery) in the database. The search will be conducted with 1000% accuracy and include patients with any timing.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Cancer -Agranul@18:34:43</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Cancer of prostate</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neoplasms (140-239)\Malignant neoplasms (140-208)\Genitourinary organs (179-189)\(185) Malignant neoplasm of prost~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Neoplasms \ Malignant neoplasms \ Genitourinary organs \ Malignant neoplasm of prostate</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Agranulocytosis secondary to cancer chemotherapy</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(D50-D89) Dise~nx0c\(D70-D77) Othe~fuc6\(D70) Neutropenia\(D70.1) Agranu~9wzi\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the blood and blood-forming organs and certain disorders involving the immune mechanism (d50-d89) \ Other disorders of blood and blood-forming organs (d70-d77) \ Neutropenia \ Agranulocytosis secondary to cancer chemotherapy</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients who have been diagnosed with Malignant neoplasm of the prostate and have also been diagnosed with Agranulocytosis secondary to cancer chemotherapy.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Diabetes mellit@16:49:47</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Diabetes mellitus</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine disorders \ Other endocrine gland diseases \ Diabetes mellitus</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all patients with a diagnosis of diabetes mellitus, with no specific timing requirement and a high accuracy level, using the i2b2 query builder.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>'Essential (Pri@17:51:24</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)'Essential (Primary) Hypertension' and 'Diabetes Mellitus (e08-e13)'</item_name> <item_key>masterid:4725</item_key> <tooltip>'Essential (Primary) Hypertension' and 'Diabetes Mellitus (e08-e13)'</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>PATIENT:HIVE:1000000045</item_name> <item_key>PATIENT:HIVE:1000000045</item_key> <tooltip>PATIENT:HIVE:1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients with a diagnosis of Essential (Primary) Hypertension and Diabetes Mellitus (e08-e13) in the i2b2 database, specifically for patient HIVE:1000000045, with a high level of accuracy (1000%) and no synonyms considered, within any time frame.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Essen-D-Person_@19:14:26</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>1</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Essen-Diabe-Perso@19:02:12</item_name> <item_key>masterid:4625</item_key> <tooltip>Essen-Diabe-Perso@19:02:12</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Person_#1000000045</item_name> <item_key>masterid:3740</item_key> <tooltip>Person_#1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients who have been diagnosed with diabetes (from the Essen-Diabe-Perso@19:02:12 query) and are also associated with the person ID 100000045 (from the Person_#100000045 query). The query is designed to have a high specificity and accuracy, and it covers any time period (ANY timing). The query is not a synonym and is composed of two panels. The first panel includes the Essen-Diabe-Perso@19:02:12 query, which is the inverse of the panel, meaning that it excludes patients who do not meet this criteria. The second panel includes the Person_#100000045 query, which is not inverted, meaning it includes patients who match this criteria.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Perso-Essen-Diabe@19:20:30</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Person_#1000000045</item_name> <item_key>masterid:3740</item_key> <tooltip>Person_#1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Essential hypertension</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\(401) Essential hypertension\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Hypertensive disease \ Essential hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find a query that identifies a specific person (Person_#1000000045) with a diagnosis of essential hypertension (401-405) and diabetes mellitus (e08-e13) in the i2b2 database, considering all time frames (ANY timing) and with a high accuracy (1000% accuracy scale). The query will not be inverted, meaning it will only return records that match the specified criteria.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>'Essential (Pri@17:54:56</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)'Essential (Primary) Hypertension' and 'Diabetes Mellitus (e08-e13)'</item_name> <item_key>masterid:4725</item_key> <tooltip>'Essential (Primary) Hypertension' and 'Diabetes Mellitus (e08-e13)'</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>PATIENT:HIVE:1000000045</item_name> <item_key>PATIENT:HIVE:1000000045</item_key> <tooltip>PATIENT:HIVE:1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients with both essential (primary) hypertension and diabetes mellitus (e08-e13) in their medical records, and I want to limit the search to a specific patient identified by the HIVE ID 1000000045.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>PATIENTSET@16:26:27</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>Patient Set for "Female@11:25:21" - FINISHEDPatient list</item_name> <item_key>patient_set_coll_id:999</item_key> <tooltip>Patient Set for "Female@11:25:21" - FINISHEDPatient list</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find a patient set that includes all female patients with a specific condition or characteristic, and I want to create a query using the i2b2 query builder XML that will retrieve this information. The query should be applied to any time period, have a specificity scale of 0, an accuracy scale of 100, and retrieve only one item from the panel. The panel will include a collection of patient IDs associated with the female patient set, which is a finished patient list.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Perso-Essen-Diabe@19:24:08</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Person_#1000000045</item_name> <item_key>masterid:3740</item_key> <tooltip>Person_#1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>1</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Essential hypertension</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\(401) Essential hypertension\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Hypertensive disease \ Essential hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>1</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find a patient who has been diagnosed with essential hypertension (401) and diabetes mellitus (e08-e13) with a specificity of 100 and a timing of ANY. The patient's identifier is Person_#1000000045, and the query should exclude any synonyms for these conditions.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Perso-Diabe-Essen@19:33:08</query_name> <query_timing>SAMEVISIT</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>SAMEVISIT</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Person_#1000000045</item_name> <item_key>masterid:3740</item_key> <tooltip>Person_#1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>SAMEVISIT</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>SAMEVISIT</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find a query that identifies patients with a diagnosis of diabetes mellitus (e08-e13) and essential (primary) hypertension (i10) who have also been identified as Person_#1000000045, and all diagnoses must have occurred during the same visit with an accuracy scale of 100 and specificity scale of 0.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Essen-Diabe-Perso@19:36:49</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Person_#1000000045</item_name> <item_key>masterid:3740</item_key> <tooltip>Person_#1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all instances of essential (primary) hypertension (I10) and diabetes mellitus (E08-E13) diagnoses for a specific patient (Person_#100000045) within the ICD10_ICD9 Diagnoses category, with no specific timing constraints.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>PATIENT:HIVE:10@17:57:26</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>PATIENT:HIVE:1000000045</item_name> <item_key>PATIENT:HIVE:1000000045</item_key> <tooltip>PATIENT:HIVE:1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all patients with the specific query name "PATIENT:HIVE:10@17:57:26" at any time (ANY timing) with a specificity scale of 0 and a panel number of 1, where the accuracy scale is 100 and the panel timing is also ANY, with a total of 1 item occurrence. The item name is "PATIENT:HIVE:100000045" and the item key is also "PATIENT:HIVE:100000045", and it is not a synonym.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>(t) Operations on cOperations on rLaboratory Test@13:46:51</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Operations on cardiovascular system</item_name> <item_key>\\i2b2_PROC\i2b2\Procedures\PRC\ICD9 (Inpatient)\(35-39) Operations on cardiovascular system\</item_key> <item_icon>FA</item_icon> <tooltip>Procedures \ ICD9 (Inpatient) \ Operations on cardiovascular system</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <subquery_constraint> <first_query> <query_id>Observation A</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>ANY</aggregate_operator> </first_query> <operator>LESS</operator> <second_query> <query_id>Observation C</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>ANY</aggregate_operator> </second_query> <span> <operator>LESSEQUAL</operator> <span_value>10</span_value> <units>DAY</units> </span> </subquery_constraint> <subquery> <query_id>Observation A</query_id> <query_type>EVENT</query_type> <query_name>Observation A</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>0</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Operations on respiratory system</item_name> <item_key>\\i2b2_PROC\i2b2\Procedures\PRC\ICD9 (Inpatient)\(30-34) Operations on respiratory system\</item_key> <item_icon>FA</item_icon> <tooltip>Procedures \ ICD9 (Inpatient) \ Operations on respiratory system</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </subquery> <subquery> <query_id>Observation C</query_id> <query_type>EVENT</query_type> <query_name>Observation C</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>0</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>1</hlevel> <item_name>Laboratory Tests</item_name> <item_key>\\i2b2_LABS\i2b2\Labtests\</item_key> <item_icon>FA</item_icon> <tooltip>Labtests</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </subquery> </ns4:query_definition> ```	I want to find patients who have had operations on the cardiovascular system (ICD9 code 3-39) within the same encounter as a laboratory test (Labtests) and the operation occurred less than or equal to 10 days before the laboratory test.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Essen-Diabe-Perso@19:44:57</query_name> <query_timing>SAMEVISIT</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>SAMEVISIT</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>SAMEVISIT</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>SAMEVISIT</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Person_#1000000045</item_name> <item_key>masterid:3740</item_key> <tooltip>Person_#1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients with a diagnosis of essential (primary) hypertension (ICD-9 code: I10) and diabetes mellitus (ICD-9 code: E08-E13) within the same visit, and who have been seen by the provider with the master ID 340.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Essen-Diabe-Outpa@19:52:37</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Person_#1000000045</item_name> <item_key>masterid:3740</item_key> <tooltip>Person_#1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Person_#1000000045</item_name> <item_key>masterid:3740</item_key> <tooltip>Person_#1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>0</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>2</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Outpatient visit</item_name> <item_key>\\i2b2_VISIT\i2b2\Visit Details\Visit type\Outpatient visit\</item_key> <item_icon>LA</item_icon> <tooltip>Visit Details \ Visit type \ Outpatient visit</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients with a diagnosis of essential (primary) hypertension (ICD-9 code I10) and diabetes mellitus (ICD-9 code E08-E13) who have had at least one outpatient visit.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Essen-Diabe-Outpa@19:53:58</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>0</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>2</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Outpatient visit</item_name> <item_key>\\i2b2_VISIT\i2b2\Visit Details\Visit type\Outpatient visit\</item_key> <item_icon>LA</item_icon> <tooltip>Visit Details \ Visit type \ Outpatient visit</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Person_#1000000045</item_name> <item_key>masterid:3473</item_key> <tooltip>Person_#1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients with a diagnosis of essential (primary) hypertension and diabetes mellitus, with an outpatient visit, who are associated with the person record #100000045.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Male@21:31:47</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Male</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Male\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Male</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all male patients in the i2b2 database, regardless of the time frame, with a high level of specificity (1000%) and accuracy, and the query will be applied to the first panel.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>(t) FemaleChest painAsthma@16:24:13</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Male</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Male\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Male</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <subquery_constraint> <first_query> <query_id>Event 1</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>FIRST</aggregate_operator> </first_query> <operator>LESS</operator> <second_query> <query_id>Event 2</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>FIRST</aggregate_operator> </second_query> <span> <operator>GREATEREQUAL</operator> <span_value>1</span_value> <units>YEAR</units> </span> </subquery_constraint> <subquery> <query_id>Event 1</query_id> <query_type>EVENT</query_type> <query_name>Event 1</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Chest pain</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Symptoms, signs, and ill-defined conditions (780-799)\Symptoms (780-789)\(786) Symptoms involving respirat~\(786-5) Chest pain\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Symptoms, signs, and ill-defined conditions \ Symptoms \ Symptoms involving respiratory system and other chest symptoms \ Chest pain</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </subquery> <subquery> <query_id>Event 2</query_id> <query_type>EVENT</query_type> <query_name>Event 2</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Asthma</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Respiratory system (460-519)\Chronic obstructive diseases (490-496)\(493) Asthma\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Respiratory system \ Chronic obstructive diseases \ Asthma</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </subquery> </ns4:query_definition> ```	I want to find female patients who have experienced chest pain and have been diagnosed with asthma within the last year.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Essen-Diabe-Perso@19:48:48</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>0</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>2</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Person_#1000000045</item_name> <item_key>masterid:3740</item_key> <tooltip>Person_#1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients with a diagnosis of essential (primary) hypertension (ICD10 code I10) and diabetes mellitus (ICD9 code E08-E13) in their medical records, specifically for a person with master ID 100000045, and I want to search for these conditions regardless of when they were diagnosed.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Essen-Diabe-Perso@19:50:47</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>0</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>2</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Person_#1000000045</item_name> <item_key>masterid:3740</item_key> <tooltip>Person_#1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Outpatient visit</item_name> <item_key>\\i2b2_VISIT\i2b2\Visit Details\Visit type\Outpatient visit\</item_key> <item_icon>LA</item_icon> <tooltip>Visit Details \ Visit type \ Outpatient visit</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients with a diagnosis of essential (primary) hypertension (ICD10-ICD9 codes I10-I15) and diabetes mellitus (ICD10-ICD9 codes E08-E13) who have had an outpatient visit, and are associated with person ID 100000045. The specificity scale is set to 0, indicating that all patients meeting these criteria should be included, and the accuracy scale for each panel is set to 100, meaning that the diagnosis codes should be exact matches. The query timing is set to ANY, so it includes encounters from any time period.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Essen-Diabe-Perso@19:51:42</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>0</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>2</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Person_#1000000045</item_name> <item_key>masterid:3740</item_key> <tooltip>Person_#1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Outpatient visit</item_name> <item_key>\\i2b2_VISIT\i2b2\Visit Details\Visit type\Outpatient visit\</item_key> <item_icon>LA</item_icon> <tooltip>Visit Details \ Visit type \ Outpatient visit</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients with a diagnosis of essential (primary) hypertension (I10) and diabetes mellitus (E08-E13) who have had an outpatient visit, and are also identified as Person_#100000045.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Atrial fibrilla@15:36:53</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Atrial fibrillation</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Other forms of heart disease (420-429)\(427) Cardiac dysrhythmias\(427-3) Atrial fibrillation and f~\(427-31) Atrial fibrillation\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Other forms of heart disease \ Cardiac dysrhythmias \ Atrial fibrillation and flutter \ Atrial fibrillation</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all instances of Atrial fibrillation diagnoses in the i2b2 database, with a specificity scale of 0 and a total occurrence of 1, and the query should be applied to any time frame.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Length of stay@19:24:25</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Length of stay</item_name> <item_key>\\i2b2_VISIT\i2b2\Visit Details\Length of stay\</item_key> <item_icon>FA</item_icon> <tooltip>Visit Details \ Length of stay</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find the length of stay for any patient visit, with an accuracy scale of 100 and no specificity or timing constraints, displaying the information in the Visit Details panel, using the i2b2 query builder.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Essen-Diabe-Outpa@19:53:36</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>0</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>2</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Outpatient visit</item_name> <item_key>\\i2b2_VISIT\i2b2\Visit Details\Visit type\Outpatient visit\</item_key> <item_icon>LA</item_icon> <tooltip>Visit Details \ Visit type \ Outpatient visit</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients with a diagnosis of essential (primary) hypertension and diabetes mellitus (e08-e13) who have had an outpatient visit.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Essen-Diabe-Outpa@19:54:43</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>0</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>2</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Outpatient visit</item_name> <item_key>\\i2b2_VISIT\i2b2\Visit Details\Visit type\Outpatient visit\</item_key> <item_icon>LA</item_icon> <tooltip>Visit Details \ Visit type \ Outpatient visit</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Person_#1000000045</item_name> <item_key>masterid:3473</item_key> <tooltip>Person_#1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients with a diagnosis of essential (primary) hypertension (I10) and diabetes mellitus (E08-E13) who have had an outpatient visit. The search will be focused on a specific person with the master ID 343.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Essen-Diabe-Perso@19:55:29</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>0</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>2</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Person_#1000000045</item_name> <item_key>masterid:3473</item_key> <tooltip>Person_#1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Outpatient visit</item_name> <item_key>\\i2b2_VISIT\i2b2\Visit Details\Visit type\Outpatient visit\</item_key> <item_icon>LA</item_icon> <tooltip>Visit Details \ Visit type \ Outpatient visit</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients with a diagnosis of essential (primary) hypertension and diabetes mellitus who have had an outpatient visit, specifically looking at the records of Person_#100000045 in the database.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>PATIENT-'Essent@20:13:12</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>Encounter Set for "Person_#1000000045"Encounter setFINISHED</item_name> <item_key>patient_set_enc_id:10655</item_key> <tooltip>Encounter Set for "Person_#1000000045"Encounter setFINISHED</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)'Essential (Primary) Hypertension' and 'Diabetes Mellitus (e08-e13)'</item_name> <item_key>masterid:4725</item_key> <tooltip>'Essential (Primary) Hypertension' and 'Diabetes Mellitus (e08-e13)'</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients with a history of both Essential (Primary) Hypertension and Diabetes Mellitus (e08-e13) in the specified encounter set for Person_#100000045, where the encounter has been finished.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Assault-Assault@21:32:28</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Assault (x92-y08)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(V00-Y99) Exte~2k58\(X92-Y08) Assa~4b66\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ External causes of morbidity (v00-y99) \ Assault (x92-y08)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Assault by crashing of motor vehicle</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(V00-Y99) Exte~2k58\(X92-Y08) Assa~4b66\(Y03) Assault~rwkc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ External causes of morbidity (v00-y99) \ Assault (x92-y08) \ Assault by crashing of motor vehicle</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all cases of assault, including assault by crashing of motor vehicle, with any timing and 1000% accuracy, using the ICD-10 and ICD-9 diagnostic codes, with no synonyms considered.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Essen-Diabe-Perso@19:55:41</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>0</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>2</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Person_#1000000045</item_name> <item_key>masterid:3473</item_key> <tooltip>Person_#1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Outpatient visit</item_name> <item_key>\\i2b2_VISIT\i2b2\Visit Details\Visit type\Outpatient visit\</item_key> <item_icon>LA</item_icon> <tooltip>Visit Details \ Visit type \ Outpatient visit</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find a query that searches for individuals with a diagnosis of essential (primary) hypertension and diabetes mellitus (e08-e13), with a specificity scale of 0, and an outpatient visit type, within the time frame of ANY, for a particular patient with the master ID of 343.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Perso-Essen-Diabe@20:01:09</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Person_#1000000045</item_name> <item_key>masterid:3740</item_key> <tooltip>Person_#1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find a query that identifies a person with a master ID of 3740 who has been diagnosed with essential (primary) hypertension and diabetes mellitus, using any specificity scale, accuracy scale, and timing. The query includes three panels: the first panel refers to the person with the specified master ID, the second panel focuses on essential (primary) hypertension, and the third panel focuses on diabetes mellitus.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Person_#1000000@20:05:41</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Person_#1000000045</item_name> <item_key>masterid:3740</item_key> <tooltip>Person_#1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients with a history of essential (primary) hypertension and diabetes mellitus (e08-e13) using the i2b2 query builder, with the specificity scale set to 0 and the panel accuracy scale set to 100, and the panel timing set to ANY. The query will include two items: the first item is a synonym for the patient's master ID, and the second item is a combination of ICD-10 and ICD-9 diagnoses codes for essential (primary) hypertension, and the third item is a combination of ICD-10 and ICD-9 diagnoses codes for diabetes mellitus. The panel will have a total of 1 occurrence, and the query timing will be set to ANY.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>PATIENTSETFINIS@18:03:04</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>Patient Set for "'Essential (Pri@13:48:19"Patient setFINISHED</item_name> <item_key>patient_set_coll_id:17454</item_key> <tooltip>Patient Set for "'Essential (Pri@13:48:19"Patient setFINISHED</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find all patients who are part of the "Essential (Pri@13:48:19"Patient setFINISHED" patient set, with a specificity scale of 0 and an accuracy scale of 100, and the query should be applied to any time period.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>'Essential (Pri@13:19:05</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)'Essential (Pri@14:36:21</item_name> <item_key>masterid:8533</item_key> <tooltip>'Essential (Pri@14:36:21</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients who have had an encounter at 13:19:05 with a specificity scale of 0, and the panel timing set to ANY, with a panel accuracy scale of 100, and the query is not inverted. The query will also include the result of another query with the name 'Essential (Pri@4:36:21' in the first panel, and the hlevel is set to 0. The tooltip for this query is 'Essential (Pri@14:36:21' and it is not a synonym.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Essen-Diabe-Perso@19:56:08</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>0</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>2</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Person_#1000000045</item_name> <item_key>masterid:3473</item_key> <tooltip>Person_#1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Outpatient visit</item_name> <item_key>\\i2b2_VISIT\i2b2\Visit Details\Visit type\Outpatient visit\</item_key> <item_icon>LA</item_icon> <tooltip>Visit Details \ Visit type \ Outpatient visit</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```	I want to find patients with a diagnosis of essential (primary) hypertension and diabetes mellitus who have had an outpatient visit and are associated with person_id 100000045 in the database.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Male@15:48:43</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Male</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Male\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Male</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all male patients in the i2b2 database with no specific timing constraints and a high level of accuracy.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>'Essential (Pri@14:05:17</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)'Essential (Primary) Hypertension' and 'Diabetes Mellitus (e08-e13)'</item_name> <item_key>masterid:4725</item_key> <tooltip>'Essential (Primary) Hypertension' and 'Diabetes Mellitus (e08-e13)'</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a diagnosis of essential (primary) hypertension and diabetes mellitus (e08-e13) in their medical records.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>(t) AsthmaAsthmaAsthma@20:18:13</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Asthma</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(J00-J99) Dise~45pn\(J40-J47) Chro~fbox\(J45) Asthma\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the respiratory system (j00-j99) \ Chronic lower respiratory diseases (j40-j47) \ Asthma</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <subquery_constraint> <first_query> <query_id>Observation A</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>FIRST</aggregate_operator> </first_query> <operator>LESS</operator> <second_query> <query_id>Observation B</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>LAST</aggregate_operator> </second_query> <operator>GREATEREQUAL</operator> <span_value>800</span_value> <units>DAY</units> </subquery_constraint> <subquery> <query_id>Observation A</query_id> <query_type>EVENT</query_type> <query_name>Observation A</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>0</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Asthma</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(J00-J99) Dise~45pn\(J40-J47) Chro~fbox\(J45) Asthma\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the respiratory system (j00-j99) \ Chronic lower respiratory diseases (j40-j47) \ Asthma</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </subquery> <subquery> <query_id>Observation B</query_id> <query_type>EVENT</query_type> <query_name>Observation B</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>0</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Asthma</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(J00-J99) Dise~45pn\(J40-J47) Chro~fbox\(J45) Asthma\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the respiratory system (j00-j99) \ Chronic lower respiratory diseases (j40-j47) \ Asthma</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </subquery> </ns4:query_definition> ```

I want to find all patients who have been diagnosed with asthma (ICD-9 code J45) within the specified time frame, where the first diagnosis of asthma occurred at least 80 days prior to the last diagnosis of asthma. The query looks for asthma diagnoses within the "Diagnoses" category, specifically under "Diseases of the respiratory system (j0-j9)" and "Chronic lower respiratory diseases (j40-j47)".

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>mild dementia@16:10:16</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>mild dementia</item_name> <item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\mild dementia\</item_key> <item_icon>LA</item_icon> <tooltip>oasis \ Clinical Measures \ Clinical Dementia Rating (CDR) \ mild dementia</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a diagnosis of mild dementia, based on the Clinical Dementia Rating (CDR) scale, with a high level of specificity and accuracy, at any time during their medical history.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>mild -Educa-Deriv@16:33:23</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>mild dementia</item_name> <item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\mild dementia\</item_key> <item_icon>LA</item_icon> <tooltip>oasis \ Clinical Measures \ Clinical Dementia Rating (CDR) \ mild dementia</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Education</item_name> <item_key>\\BIRN\BIRN\oasis\Demographics\Education\</item_key> <item_icon>FA</item_icon> <tooltip>oasis \ Demographics \ Education</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Derived Anatomic Volumes</item_name> <item_key>\\BIRN\BIRN\oasis\Derived Anatomic Volumes\</item_key> <item_icon>FA</item_icon> <tooltip>oasis \ Derived Anatomic Volumes</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a diagnosis of mild dementia, who have a record of their education level, and have had their derived anatomic volumes measured, at any point in time.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Atrial -Gender@13:13:41</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Atrial fibrillation and flutter</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I30-I52) Othe~w6tz\(I48) Atrial f~wiu4\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Other forms of heart disease (i30-i52) \ Atrial fibrillation and flutter</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Gender</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\</item_key> <item_icon>FA</item_icon> <tooltip>Demographic \ Gender</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all instances of Atrial fibrillation and flutter diagnoses in the ICD10-ICD9 Diagnoses section (codes I30-I52) along with the corresponding gender information from the Demographics section of the i2b2 data model.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Male-Ischemi@12:38:38</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Male</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Male\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Male</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Ischemic heart disease</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Ischemic heart disease (410-414)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Ischemic heart disease</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find male patients with a diagnosis of ischemic heart disease.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Male-Ischemi@12:39:31</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Male</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Male\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Male</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Ischemic heart disease</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Ischemic heart disease (410-414)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Ischemic heart disease</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find male patients with a diagnosis of ischemic heart disease.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Certain-Bacteri@08:03:19</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>1</hlevel> <item_name>Certain infectious and parasitic diseases (a00-b99)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(A00-B99) Cert~ugmm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Certain infectious and parasitic diseases (a00-b99)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Bacterial and viral infectious agents (b95-b97)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(A00-B99) Cert~ugmm\(B95-B97) Bact~28iq\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Certain infectious and parasitic diseases (a00-b99) \ Bacterial and viral infectious agents (b95-b97)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all diagnoses related to certain infectious and parasitic diseases (ICD10 codes A0-B9) including bacterial and viral infectious agents (ICD10 codes B95-B97) with a high level of specificity (100) and no time restriction.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>mild - 55--Femal@16:34:52</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>mild dementia</item_name> <item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\mild dementia\</item_key> <item_icon>LA</item_icon> <tooltip>oasis \ Clinical Measures \ Clinical Dementia Rating (CDR) \ mild dementia</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find female patients aged 5-64 years old who have been diagnosed with mild dementia.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>(t) AsthmaAsthmaAsthma@20:18:01</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Asthma</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(J00-J99) Dise~45pn\(J40-J47) Chro~fbox\(J45) Asthma\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the respiratory system (j00-j99) \ Chronic lower respiratory diseases (j40-j47) \ Asthma</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <subquery_constraint> <first_query> <query_id>Observation A</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>FIRST</aggregate_operator> </first_query> <operator>LESS</operator> <second_query> <query_id>Observation B</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>LAST</aggregate_operator> </second_query> <operator>GREATEREQUAL</operator> <span_value>8</span_value> <units>DAY</units> </subquery_constraint> <subquery> <query_id>Observation A</query_id> <query_type>EVENT</query_type> <query_name>Observation A</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>0</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Asthma</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(J00-J99) Dise~45pn\(J40-J47) Chro~fbox\(J45) Asthma\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the respiratory system (j00-j99) \ Chronic lower respiratory diseases (j40-j47) \ Asthma</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </subquery> <subquery> <query_id>Observation B</query_id> <query_type>EVENT</query_type> <query_name>Observation B</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>0</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Asthma</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(J00-J99) Dise~45pn\(J40-J47) Chro~fbox\(J45) Asthma\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the respiratory system (j00-j99) \ Chronic lower respiratory diseases (j40-j47) \ Asthma</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </subquery> </ns4:query_definition> ```

I want to find patients who have been diagnosed with asthma (ICD10_ICD9: J45) within the same instance number as another query (Observation A) and within a time frame of 8 days before or after the diagnosis of asthma (Observation B). The specificity scale is set to 0, indicating that all instances of asthma diagnoses will be included, and the accuracy scale for both panels is set to 10, meaning that the diagnosis must be accurate. The query will search for occurrences of asthma in the "Diagnoses" section of the medical record, specifically under "Diseases of the respiratory system (j0-j9)" and "Chronic lower respiratory diseases (j40-j47)".

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>(t) AsthmaAsthmaAsthma@20:19:01</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Asthma</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(J00-J99) Dise~45pn\(J40-J47) Chro~fbox\(J45) Asthma\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the respiratory system (j00-j99) \ Chronic lower respiratory diseases (j40-j47) \ Asthma</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <subquery_constraint> <first_query> <query_id>Observation A</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>FIRST</aggregate_operator> </first_query> <operator>LESS</operator> <second_query> <query_id>Observation B</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>LAST</aggregate_operator> </second_query> <operator>GREATEREQUAL</operator> <span_value>2000</span_value> <units>DAY</units> </subquery_constraint> <subquery> <query_id>Observation A</query_id> <query_type>EVENT</query_type> <query_name>Observation A</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>0</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Asthma</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(J00-J99) Dise~45pn\(J40-J47) Chro~fbox\(J45) Asthma\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the respiratory system (j00-j99) \ Chronic lower respiratory diseases (j40-j47) \ Asthma</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </subquery> <subquery> <query_id>Observation B</query_id> <query_type>EVENT</query_type> <query_name>Observation B</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>0</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Asthma</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(J00-J99) Dise~45pn\(J40-J47) Chro~fbox\(J45) Asthma\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the respiratory system (j00-j99) \ Chronic lower respiratory diseases (j40-j47) \ Asthma</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </subquery> </ns4:query_definition> ```

I want to find patients who have been diagnosed with asthma (ICD-9 code: 493) within 20 days of the start date of the observation window, with a specificity scale of 0, and a panel accuracy scale of 100, using the panel named "AsthmaAsthmaAsthma@20:19:01" with a subquery constraint that checks if the first query's start date is less than or equal to 20 days from the second query's last date, using the same instance number for both subqueries.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Diseases of eso@16:40:12</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Diseases of esophagus</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\(530) Diseases of esophagus\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Digestive system \ Diseases of esophagus</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all diagnoses related to diseases of the esophagus in the ICD-10-CM code range 530, within the Digestive System category, using the I2b2 query builder with a specificity scale of 0 and a total item occurrence of 1. The query should be applied to any time period (ANY timing) and have an accuracy scale of 100.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Ischemi-Male@09:46:43</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Ischemic heart disease</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Ischemic heart disease (410-414)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Ischemic heart disease</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Male</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Male\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Male</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all male patients with a diagnosis of ischemic heart disease.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18-34-Acute p@21:42:53</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients aged between 18-64 years old who have been diagnosed with acute pancreatitis.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18-34-Acute p@21:43:20</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find encounters for patients aged 18-34, 35-44, or 45-54 years old with a diagnosis of acute pancreatitis.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18--Hyper-HMG-C@21:50:09</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 65-74 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>>= 65 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 65 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ >= 65 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 75-84 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 75-84 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>>= 85 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 85 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ >= 85 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>HMG-CoA reductase inhibitors</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients between the ages of 18-85 years old who have been diagnosed with hyperlipidemia and have been prescribed HMG-CoA reductase inhibitors at any time during their medical history.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Blood Gases/Oxi@16:45:07</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Blood Gases/Oximetry</item_name> <item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\(LLB72) Blood Gases/Oximetry\</item_key> <item_icon>FA</item_icon> <tooltip>Labtests \ Chemistry \ Blood Gases/Oximetry</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all instances of blood gases/oximetry measurements within the i2b2 database, with any timing constraint, and a specificity scale of 0, using a panel with a single item at level 3, named "Blood Gases/Oximetry," with an accuracy scale of 10, and a unique occurrence count of 1. The key for this item is "\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\(LLB72) Blood Gases/Oximetry\", and it is not a synonym.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Diabetes Mellit@13:58:23</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Diabetes Mellitus</item_name> <item_key>masterid:5375</item_key> <tooltip>Diabetes Mellitus</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Diabetes Mellitus</item_name> <item_key>masterid:5373</item_key> <tooltip>Diabetes Mellitus</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```

I want to find all patients with a diagnosis of Diabetes Mellitus, including both the masterid:535 and masterid:5333 codes, with no specific timing constraint and a high accuracy level of 100%, and the results should include both the main query term and its synonyms.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Femal-Hyper-Diabe@21:53:37</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Hypertension</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Injury and poisoning (800-999)\Complications of medical care (996-999)\(997) Complications affecting spe~\(997-9) Complications affecting o~\(997-91) Hypertension\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Complications affecting specified body systems, not elsewhere classified \ Complications affecting other specified body systems, not elsewhere classified \ Hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-00) type II diabetes mellitu~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}fied type, not stated as uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find female patients with a diagnosis of hypertension and type II diabetes mellitus, without any specified complications, within the i2b2 data repository.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Female-Diabete@21:54:37</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-00) type II diabetes mellitu~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}fied type, not stated as uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find female patients with a diagnosis of type II diabetes mellitus without mention of complications, at any time in their medical record.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Femal-Prima-Diabe@21:59:52</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Primary hypertension NOS</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\(401) Essential hypertension\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Hypertensive disease \ Essential hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-00) type II diabetes mellitu~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}fied type, not stated as uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find female patients with primary hypertension and type II diabetes mellitus, without mention of complications, at any time during their medical history.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Medications@16:25:41</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>1</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>1</hlevel> <item_name>Medications</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\</item_key> <item_icon>FA</item_icon> <tooltip>Medications</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients who have ever had any medication recorded in their electronic health record.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Pneumonia due t@20:45:53</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Pneumonia due to sars-associated coronavirus</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(J00-J99) Dise~45pn\(J09-J18) Infl~7z2l\(J12) Viral pn~6io0\(J12.8) Other~euj2\(J12.81) Pneum~f4r6\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Diseases of the respiratory system (j00-j99) \ Influenza and pneumonia (j09-j18) \ Viral pneumonia, not elsewhere classified \ Other viral pneumonia \ Pneumonia due to sars-associated coronavirus</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find cases of Pneumonia due to SARS-associated coronavirus (J12.81) in the ICD10-ICD9 Diagnoses category, specifically within the subcategory of Diseases of the respiratory system (J00-J9), Influenza and pneumonia (J09-J18), and Other viral pneumonia (J12.8). The specificity scale is set to 0, meaning the query will search for all possible matches, and the query timing is set to ANY, indicating that the search will include past, present, and future occurrences. The panel's accuracy scale is set to 100, meaning the highest level of accuracy is desired, and the panel number and total item occurrences are both set to 1, indicating that only one item is being searched for. The invert parameter is set to 0, meaning the query will search for positive matches only. The query name is "Pneumonia due t@20:45:53" and the tooltip provides additional information on the query structure.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Femal-Diabe-Hyper@21:56:00</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-00) type II diabetes mellitu~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}fied type, not stated as uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Hypertension</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Injury and poisoning (800-999)\Complications of medical care (996-999)\(997) Complications affecting spe~\(997-9) Complications affecting o~\(997-91) Hypertension\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Complications affecting specified body systems, not elsewhere classified \ Complications affecting other specified body systems, not elsewhere classified \ Hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find female patients with a diagnosis of type II diabetes mellitus and hypertension, without any specified time constraints.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Female-Hyperte@21:56:09</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Hypertension</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Injury and poisoning (800-999)\Complications of medical care (996-999)\(997) Complications affecting spe~\(997-9) Complications affecting o~\(997-91) Hypertension\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Complications affecting specified body systems, not elsewhere classified \ Complications affecting other specified body systems, not elsewhere classified \ Hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find female patients with a diagnosis of hypertension in the i2b2 database.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 35-44-Acute p@22:01:56</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find encounters where the patient's age is between 18 and 34 years old and has been diagnosed with acute pancreatitis.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18--Livin-Acute@22:10:13</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Living</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ Living</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find encounters where the patient's age is between 18 and 64 years old, excluding ages 18 and 64, and the patient is currently living, with a diagnosis of acute pancreatitis.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>(t) FemaleAbdominal painAsthma@16:23:34</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Male</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Male\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Male</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <subquery_constraint> <first_query> <query_id>Event 1</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>FIRST</aggregate_operator> </first_query> <operator>LESS</operator> <second_query> <query_id>Event 2</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>FIRST</aggregate_operator> </second_query> <operator>GREATEREQUAL</operator> <span_value>1</span_value> <units>YEAR</units> </subquery_constraint> <subquery> <query_id>Event 1</query_id> <query_type>EVENT</query_type> <query_name>Event 1</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Abdominal pain</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Symptoms, signs, and ill-defined conditions (780-799)\Symptoms (780-789)\(789) Other symptoms involving ab~\(789-0) Abdominal pain\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Symptoms, signs, and ill-defined conditions \ Symptoms \ Other symptoms involving abdomen and pelvis \ Abdominal pain</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </subquery> <subquery> <query_id>Event 2</query_id> <query_type>EVENT</query_type> <query_name>Event 2</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Asthma</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Respiratory system (460-519)\Chronic obstructive diseases (490-496)\(493) Asthma\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Respiratory system \ Chronic obstructive diseases \ Asthma</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </subquery> </ns4:query_definition> ```

I want to find patients who are female, have experienced abdominal pain, and have been diagnosed with asthma at any time, with a span of at least one year between the two events.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 35-44-Acute p@22:01:42</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients between the ages of 18-64 years old who have been diagnosed with acute pancreatitis.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 35--Femal-Breas@22:15:32</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 65-74 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 75-84 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 75-84 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>>= 65 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 65 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ >= 65 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>>= 85 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 85 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ >= 85 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Breast cancer, female</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neoplasms (140-239)\Malignant neoplasms (140-208)\Bone, connective tissue, skin, and breast (170-176)\(174) Malignant neoplasm of femal~\(174-9) Malignant neoplasm of bre~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Bone, connective tissue, skin, and breast \ Malignant neoplasm of female breast \ Malignant neoplasm of breast (female), unspecified</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all female patients aged 35-85 years old who have been diagnosed with breast cancer.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18-34-Acute p@22:21:23</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find encounters of patients aged 18-34, 35-44, or 45-54 years old with a diagnosis of acute pancreatitis in the i2b2 database.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Gender-Hematol@10:52:18</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Gender</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\</item_key> <item_icon>FA</item_icon> <tooltip>Demographic \ Gender</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Hematology</item_name> <item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB53) Hematology\</item_key> <item_icon>FA</item_icon> <tooltip>Labtests \ Hematology</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients with demographic information on gender and hematology lab test results available in the database.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Princip-Seconda@15:12:59</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Circulatory system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Principal Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Circulatory system (390-459)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>1</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Hypertensive diseases (i10-i15)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15)</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Secondary Diagnosis</modifier_name> <modifier_key>\\ICD10_ICD9\Secondary Diagnosis\</modifier_key> <applied_path>\Diagnoses\(I00-I99) Dise~3w8h\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients with a principal diagnosis related to the circulatory system (codes 390-459) and no secondary diagnosis related to hypertensive diseases (codes i0-i9) in the i2b2 database.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18-34-Acute p@22:13:00</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find encounters for patients aged 5-64 years old with a diagnosis of acute pancreatitis, specifically those who are 5, 6, 7, 8, 9, 10, 111, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 222, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 333, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 5

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18--Hyper-HMG-C@22:26:13</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 65-74 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 75-84 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 75-84 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>>= 85 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 85 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ >= 85 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>HMG-CoA reductase inhibitors</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients who are 18-34 years old, 35-44 years old, 45-54 years old, 555-64 years old, 65-74 years old, or 75 years old and older, who have been diagnosed with hyperlipidemia and have been prescribed HMG-CoA reductase inhibitors.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Femal-Diabe-Hyper@22:40:03</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-00) type II diabetes mellitu~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}fied type, not stated as uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Hypertension</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Injury and poisoning (800-999)\Complications of medical care (996-999)\(997) Complications affecting spe~\(997-9) Complications affecting o~\(997-91) Hypertension\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Complications affecting specified body systems, not elsewhere classified \ Complications affecting other specified body systems, not elsewhere classified \ Hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find female patients with a diagnosis of type II diabetes mellitus and a complication of hypertension at any time in their medical record.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Maligna-Cancer @18:33:45</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Malignant neoplasm of thymus, heart, and mediastinum</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neoplasms (140-239)\Malignant neoplasms (140-208)\Respiratory and intrathorasic organs (160-165)\(164) Malignant neoplasm of thymu~\</item_key> <item_icon>FA</item_icon> <tooltip>Malignant neoplasm of thymus, heart, and mediastinum</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Cancer of epicardium</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neoplasms (140-239)\Malignant neoplasms (140-208)\Respiratory and intrathorasic organs (160-165)\(164) Malignant neoplasm of thymu~\(164-1) Malignant neoplasm of hea~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Malignant neoplasms \ Respiratory and intrathorasic organs \ Malignant neoplasm of thymus, heart, and mediastinum \ Malignant neoplasm of heart</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a diagnosis of malignant neoplasm of the thymus, heart, and mediastinum, as well as those with a diagnosis of cancer of the epicardium, using the i2b2 query builder with specificity scale set to 0, accuracy scale set to 100, and panel timing set to ANY.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Femal-Hyper-Diabe@22:39:30</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Hypertension</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Injury and poisoning (800-999)\Complications of medical care (996-999)\(997) Complications affecting spe~\(997-9) Complications affecting o~\(997-91) Hypertension\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Complications affecting specified body systems, not elsewhere classified \ Complications affecting other specified body systems, not elsewhere classified \ Hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-00) type II diabetes mellitu~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}fied type, not stated as uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find female patients with a history of hypertension and type II diabetes mellitus (non-insulin dependent, not stated as uncontrolled, without mention of complications) with any timing and at any level of specificity.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Femal-Hyper-Diabe@22:44:43</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Hypertension</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\(401) Essential hypertension\(401-9) Unspecified essential hyp~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Hypertensive disease \ Essential hypertension \ Unspecified essential hypertension</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-00) type II diabetes mellitu~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}fied type, not stated as uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find female patients with unspecified essential hypertension and type II diabetes mellitus (non-insulin dependent, not stated as uncontrolled, without mention of complication) diagnoses, without any specific time frame or accuracy preference.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Male-LYMPHS @10:36:38</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Male</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Male\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Male</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>LYMPHS (LOINC:736-9)</item_name> <item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB53) Hematology\(LLB55) Blood Differential %\LYMPHS\LOINC:736-9\</item_key> <item_icon>LA</item_icon> <tooltip>Labtests \ Hematology \ Blood Differential% \ Lymphocytes - Auto (Group:LYMPHS) \ Lymphs (LOINC:736-9)</tooltip> <class>ENC</class> <constrain_by_value> <value_operator>LT</value_operator> <value_constraint>50</value_constraint> <value_unit_of_measure>%</value_unit_of_measure> <value_type>NUMBER</value_type> </constrain_by_value> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all male patients with a lymphocyte percentage (LYMPHS) result lower than 50% at any time.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>PATIENT_ENCOUNT@17:43:30</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>Encounter Set for "'Essential (Pri@13:56:20"Encounter setFINISHED</item_name> <item_key>patient_set_enc_id:17465</item_key> <tooltip>Encounter Set for "'Essential (Pri@13:56:20"Encounter setFINISHED</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients who have had an encounter with the "Essential (Pri@13:56:20" Encounter set that was finished at any time, with a specificity scale of 0 and an accuracy scale of 100.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Femal-Diabe-Hyper@22:41:14</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-00) type II diabetes mellitu~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}fied type, not stated as uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Hypertension</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Injury and poisoning (800-999)\Complications of medical care (996-999)\(997) Complications affecting spe~\(997-9) Complications affecting o~\(997-91) Hypertension\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Complications affecting specified body systems, not elsewhere classified \ Complications affecting other specified body systems, not elsewhere classified \ Hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find female patients with a diagnosis of type II diabetes mellitus and a complication of hypertension within the specified timeframe.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Male@10:35:12</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Male</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Male\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Male</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all male patients in the i2b2 dataset with no specific time frame or accuracy requirement, using the "Male" demographic attribute within the "Demographics" panel.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Male-LYMPHS @10:36:12</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Male</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Male\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Male</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>LYMPHS (LOINC:736-9)</item_name> <item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB53) Hematology\(LLB55) Blood Differential %\LYMPHS\LOINC:736-9\</item_key> <item_icon>LA</item_icon> <tooltip>Labtests \ Hematology \ Blood Differential% \ Lymphocytes - Auto (Group:LYMPHS) \ Lymphs (LOINC:736-9)</tooltip> <class>ENC</class> <constrain_by_value> <value_operator>LT</value_operator> <value_constraint>100</value_constraint> <value_unit_of_measure>%</value_unit_of_measure> <value_type>NUMBER</value_type> </constrain_by_value> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all male patients with a lymphocyte count of less than 10% in their blood differential test results.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>PATIENT_ENCOUNT@17:44:15</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>Encounter Set for "'Essential (Pri@13:56:20"Encounter setFINISHED</item_name> <item_key>patient_set_enc_id:17465</item_key> <tooltip>Encounter Set for "'Essential (Pri@13:56:20"Encounter setFINISHED</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients who have had an encounter with the specified encounter set, "Essential (Pri@13:56:20" Encounter setFINISHED", at any time, with a specificity scale of 0 and an accuracy scale of 100, using a single panel with invert set to 0, and only one item occurrence.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>>= 65-Pain -Black@10:07:13</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>>= 65 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 65 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ >= 65 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Pain in throat and chest</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(R00-R99) Symp~mt2x\(R00-R09) Symp~evaq\(R07) Pain in~95zu\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Symptoms, signs and abnormal clinical and laboratory findings, not elsewhere classified (r00-r99) \ Symptoms and signs involving the circulatory and respiratory systems (r00-r09) \ Pain in throat and chest</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Black</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Race\Black\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Race \ Black</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients who are 65 years old or older, have experienced pain in their throat and chest, and are of Black race.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Male-LYMPHS @10:39:01</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Male</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Male\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Male</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Unknown</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Unknown\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Gender \ not recorded</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>LYMPHS (LOINC:736-9)</item_name> <item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB53) Hematology\(LLB55) Blood Differential %\LYMPHS\LOINC:736-9\</item_key> <item_icon>LA</item_icon> <tooltip>Labtests \ Hematology \ Blood Differential% \ Lymphocytes - Auto (Group:LYMPHS) \ Lymphs (LOINC:736-9)</tooltip> <class>ENC</class> <constrain_by_value> <value_operator>LT</value_operator> <value_constraint>50</value_constraint> <value_unit_of_measure>%</value_unit_of_measure> <value_type>NUMBER</value_type> </constrain_by_value> <constrain_by_date> <date_from>1979-12-01T00:00:00.000-05:00</date_from> <date_to>2020-09-11T00:00:00.000-05:00</date_to> </constrain_by_date> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all male patients with low lymphocyte levels (less than 50%) in their blood differential test results within the specified date range.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>LYMPHS -Gender@10:47:53</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>LYMPHS (LOINC:736-9)</item_name> <item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB53) Hematology\(LLB55) Blood Differential %\LYMPHS\LOINC:736-9\</item_key> <item_icon>LA</item_icon> <tooltip>Labtests \ Hematology \ Blood Differential% \ Lymphocytes - Auto (Group:LYMPHS) \ Lymphs (LOINC:736-9)</tooltip> <class>ENC</class> <constrain_by_value> <value_operator>LT</value_operator> <value_constraint>50</value_constraint> <value_unit_of_measure>%</value_unit_of_measure> <value_type>NUMBER</value_type> </constrain_by_value> <constrain_by_date> <date_from>1979-12-01T00:00:00.000-05:00</date_from> <date_to>2020-09-11T00:00:00.000-05:00</date_to> </constrain_by_date> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Gender</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\</item_key> <item_icon>FA</item_icon> <tooltip>Demographic \ Gender</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients who have had a Lymphocytes (LOINC:736-9) lab test result below 50% within the date range of 1979-12-01 to 2020-09-01 and whose gender is recorded in the database.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>>= 65-Monon-Black@10:05:55</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>>= 65 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\>= 65 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ >= 65 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Mononeuritis of unspecified site</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neurologic Disorders (320-389)\Peripheral nerve disorders (350-359)\(355) Mononeuritis of lower limb\(355-9) Mononeuritis of unspecifi~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Neurologic Disorders \ Peripheral nerve disorders \ Mononeuritis of lower limb \ Mononeuritis of unspecified site</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Black</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Race\Black\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Race \ Black</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients who are 65 years old or older, have been diagnosed with Mononeuritis of unspecified site, and are of Black race.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>PATIENT:HIVE:10@17:45:29</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>PATIENT:HIVE:1000000045</item_name> <item_key>PATIENT:HIVE:1000000045</item_key> <tooltip>PATIENT:HIVE:1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients with the identifier "HIVE:1000000045" in the i2b2 database, with no specific time constraints, and the results should have 1000% accuracy, and the query is not inverted. The panel will only contain one item, which is the specified patient identifier, and the specificity scale is set to 0.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>mild dementia@12:15:16</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>mild dementia</item_name> <item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\mild dementia\</item_key> <item_icon>LA</item_icon> <tooltip>oasis \ Clinical Measures \ Clinical Dementia Rating (CDR) \ mild dementia</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients who have been diagnosed with mild dementia at any time, as indicated by the Clinical Dementia Rating (CDR) scale, within the Oasis Clinical Measures section of the BIRN (Bioinformatics Research Network) database.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Male-LYMPHS @10:41:37</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Male</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Male\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Male</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Unknown</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Unknown\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Gender \ not recorded</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>LYMPHS (LOINC:736-9)</item_name> <item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB53) Hematology\(LLB55) Blood Differential %\LYMPHS\LOINC:736-9\</item_key> <item_icon>LA</item_icon> <tooltip>Labtests \ Hematology \ Blood Differential% \ Lymphocytes - Auto (Group:LYMPHS) \ Lymphs (LOINC:736-9)</tooltip> <class>ENC</class> <constrain_by_value> <value_operator>LT</value_operator> <value_constraint>50</value_constraint> <value_unit_of_measure>%</value_unit_of_measure> <value_type>NUMBER</value_type> </constrain_by_value> <constrain_by_date> <date_from>1979-12-01T00:00:00.000-05:00</date_from> <date_to>2020-09-11T00:00:00.000-05:00</date_to> </constrain_by_date> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all male patients with lymphocyte percentage (LYMPHS) less than 50% in their blood differential test results, with no specific time constraints.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>PATIENT:HIVE:10@17:46:19</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>PATIENT:HIVE:1000000045</item_name> <item_key>PATIENT:HIVE:1000000045</item_key> <tooltip>PATIENT:HIVE:1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)'Essential (Primary) Hypertension' and 'Diabetes Mellitus (e08-e13)'</item_name> <item_key>masterid:4725</item_key> <tooltip>'Essential (Primary) Hypertension' and 'Diabetes Mellitus (e08-e13)'</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with both Essential (Primary) Hypertension and Diabetes Mellitus (e08-e13) in the database, with no specific time frame or accuracy requirement.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>PATIENT:HIVE:10@17:47:38</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>SAMEVISIT</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>PATIENT:HIVE:1000000045</item_name> <item_key>PATIENT:HIVE:1000000045</item_key> <tooltip>PATIENT:HIVE:1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)'Essential (Primary) Hypertension' and 'Diabetes Mellitus (e08-e13)'</item_name> <item_key>masterid:4725</item_key> <tooltip>'Essential (Primary) Hypertension' and 'Diabetes Mellitus (e08-e13)'</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a diagnosis of Essential (Primary) Hypertension and Diabetes Mellitus (e08-e13) during the same visit with a specificity scale of 0 and a panel accuracy scale of 1000%.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Metab-Hormo-Relig@16:25:20</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Metabolic disorders (e70-e88)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E70-E88) Meta~6ibb\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Metabolic disorders (e70-e88)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Hormones</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME148) hormones\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ hormones</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Religion</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Religion\</item_key> <item_icon>FA</item_icon> <tooltip>Demographic \ Religion</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with diagnoses of metabolic disorders (ICD10-ICD9 codes E70-E8), who have been prescribed hormone medications (Medications-LME148), and have a specified religion in their demographic information. The query will search for these conditions at any time and with a high accuracy level.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Female@11:21:06</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all female patients in the i2b2 dataset, with no specific time constraints, using the Demographics panel and the Gender node, with a high accuracy scale of 100 and without inverting the results.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>PATIENT:HIVE:10@17:48:09</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>SAMEVISIT</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>1</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>PATIENT:HIVE:1000000045</item_name> <item_key>PATIENT:HIVE:1000000045</item_key> <tooltip>PATIENT:HIVE:1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)'Essential (Primary) Hypertension' and 'Diabetes Mellitus (e08-e13)'</item_name> <item_key>masterid:4725</item_key> <tooltip>'Essential (Primary) Hypertension' and 'Diabetes Mellitus (e08-e13)'</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with both essential (primary) hypertension and diabetes mellitus (e08-e13) at the same visit with a specificity scale of 0 and a panel accuracy scale of 100. The query is named PATIENT:HIVE:10@17:48:09 and has a single panel with the panel number 1 and a panel timing of SAMEVISIT. The query should exclude the item PATIENT:HIVE:1000000045, as indicated by the invert value of 1.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>(PrevQuery)Visi@17:49:09</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>undefined</item_name> <item_key>masterid:4723</item_key> <tooltip>(PrevQuery)Visit type@19:07:12</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>undefined</item_name> <item_key>masterid:4722</item_key> <tooltip>(PrevQuery)Femal-Hyper-type @10:24:08</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>undefined</item_name> <item_key>masterid:4707</item_key> <tooltip>(PrevQuery)Femal-Essen-Diabe@08:41:10</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>undefined</item_name> <item_key>masterid:4699</item_key> <tooltip>(PrevQuery)Femal-Hyper-Type @21:08:47</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>undefined</item_name> <item_key>masterid:4698</item_key> <tooltip>(PrevQuery) 18--Hyper-HMG-C@21:00:16</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>undefined</item_name> <item_key>masterid:4691</item_key> <tooltip>(PrevQuery)Visit-Essen-Dia@18:29:26</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>undefined</item_name> <item_key>masterid:4690</item_key> <tooltip>(PrevQuery)Visit-Essen-Dia@18:28:56</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>undefined</item_name> <item_key>masterid:4689</item_key> <tooltip>(PrevQuery)Visit-Essen-Dia@18:28:43</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>undefined</item_name> <item_key>masterid:4683</item_key> <tooltip>(PrevQuery)Essen-Diabe-Ins@18:18:41</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>undefined</item_name> <item_key>masterid:4680</item_key> <tooltip>(PrevQuery)Diabetes mellit@18:13:14</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a visit type of "Female" and a diagnosis of "Hyperthyroidism" or "Diabetes Mellitus" within a specific time frame (ANY), with a high level of accuracy (1000%) and specificity (0), where the panel includes items such as "Visit type", "Female-Hyper-type", "Female-Essen-Diabe", "Hyper-HMG-C", "Visit-Essen-Dia", "Visit-Essen-Dia", "Visit-Essen-Dia", "Essen-Diabe-Ins", and "Diabetes mellitus".

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18--Femal-Endoc@16:05:26</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Endocervical biopsy</item_name> <item_key>\\i2b2_PROC\i2b2\Procedures\PRC\ICD9 (Inpatient)\(65-71) Operations on female genital system\(p67) Operations on cervix\(p67-1) Diagnostic procedures on ~\(p67-11) Endocervical biopsy\</item_key> <item_icon>LA</item_icon> <tooltip>Procedures \ ICD9 (Inpatient) \ Operations on female genital system \ Operations on cervix \ Diagnostic procedures on cervix \ Endocervical biopsy</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find female patients aged 18-64 years old who have had an endocervical biopsy procedure performed.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>(t) FemaleHeadacheAsthma@16:23:54</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Male</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Male\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Male</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <subquery_constraint> <first_query> <query_id>Event 1</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>FIRST</aggregate_operator> </first_query> <operator>LESS</operator> <second_query> <query_id>Event 2</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>FIRST</aggregate_operator> </second_query> <operator>GREATEREQUAL</operator> <span_value>1</span_value> <units>YEAR</units> </subquery_constraint> <subquery> <query_id>Event 1</query_id> <query_type>EVENT</query_type> <query_name>Event 1</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Headache</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Symptoms, signs, and ill-defined conditions (780-799)\Symptoms (780-789)\(784) Symptoms involving head and~\(784-0) Headache\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Symptoms, signs, and ill-defined conditions \ Symptoms \ Symptoms involving head and neck \ Headache</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </subquery> <subquery> <query_id>Event 2</query_id> <query_type>EVENT</query_type> <query_name>Event 2</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Asthma</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Respiratory system (460-519)\Chronic obstructive diseases (490-496)\(493) Asthma\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Respiratory system \ Chronic obstructive diseases \ Asthma</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </subquery> </ns4:query_definition> ```

I want to find female patients who have had a headache diagnosis and an asthma diagnosis within the same instance number, with the headache diagnosis occurring first and the asthma diagnosis occurring within one year after the headache diagnosis.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>(t) FemaleCoughAsthma@16:24:48</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Male</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Male\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Male</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <subquery_constraint> <first_query> <query_id>Event 1</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>FIRST</aggregate_operator> </first_query> <operator>LESS</operator> <second_query> <query_id>Event 2</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>FIRST</aggregate_operator> </second_query> <operator>GREATEREQUAL</operator> <span_value>1</span_value> <units>YEAR</units> </subquery_constraint> <subquery> <query_id>Event 1</query_id> <query_type>EVENT</query_type> <query_name>Event 1</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Cough</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Symptoms, signs, and ill-defined conditions (780-799)\Symptoms (780-789)\(786) Symptoms involving respirat~\(786-2) Cough\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Symptoms, signs, and ill-defined conditions \ Symptoms \ Symptoms involving respiratory system and other chest symptoms \ Cough</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </subquery> <subquery> <query_id>Event 2</query_id> <query_type>EVENT</query_type> <query_name>Event 2</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Asthma</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Respiratory system (460-519)\Chronic obstructive diseases (490-496)\(493) Asthma\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Respiratory system \ Chronic obstructive diseases \ Asthma</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </subquery> </ns4:query_definition> ```

I want to find female patients who have experienced cough and asthma events within the same encounter or within the same instance number, with the first event occurring at least one year prior to the second event.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Essenti-Diabete@18:50:51</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a diagnosis of essential (primary) hypertension (ICD10/ICD9 code I10) and diabetes mellitus (ICD10/ICD9 code E08-E13) within the specified timeframe (ANY). The specificity scale is set to 0, indicating that all occurrences of these diagnoses should be included, and the accuracy scale is set to 10, indicating that both conditions must be present for the patient to be included in the query results.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Essenti-Diabete@18:56:37</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients who have been diagnosed with Essential (primary) hypertension (ICD10 code I10) and Diabetes mellitus (ICD10 code E08-E13) at any time during their medical history, with a high level of specificity and accuracy.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Essenti-Diabete@18:57:58</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a diagnosis of essential (primary) hypertension (I10) and diabetes mellitus (E08-E13) with any timing and 100% accuracy scale for both conditions.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Essen-D-Person_@19:13:45</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Essen-Diabe-Perso@19:02:12</item_name> <item_key>masterid:4625</item_key> <tooltip>Essen-Diabe-Perso@19:02:12</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Person_#1000000045</item_name> <item_key>masterid:3740</item_key> <tooltip>Person_#1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find a query that combines the results of two previous queries, Essen-Diabe-Perso@19:02:12 and Person_#1000000045, with any timing and 100% accuracy, and displays the results in two panels. The first panel will have the Essen-Diabe-Perso@19:02:12 query results, and the second panel will have the Person_#100000045 query results. The query is not a synonym and has a specificity scale of 0.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Essen-D-Person_@19:14:11</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>1</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Essen-Diabe-Perso@19:02:12</item_name> <item_key>masterid:4625</item_key> <tooltip>Essen-Diabe-Perso@19:02:12</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Person_#1000000045</item_name> <item_key>masterid:3740</item_key> <tooltip>Person_#1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients who have been diagnosed with diabetes (Essen-Diabe-Perso@19:02:12) and have a master id of 4652, but not patients with the identifier Person_#100000045 (PrevQuery) in the database. The search will be conducted with 1000% accuracy and include patients with any timing.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Cancer -Agranul@18:34:43</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Cancer of prostate</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neoplasms (140-239)\Malignant neoplasms (140-208)\Genitourinary organs (179-189)\(185) Malignant neoplasm of prost~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Neoplasms \ Malignant neoplasms \ Genitourinary organs \ Malignant neoplasm of prostate</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Agranulocytosis secondary to cancer chemotherapy</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(D50-D89) Dise~nx0c\(D70-D77) Othe~fuc6\(D70) Neutropenia\(D70.1) Agranu~9wzi\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the blood and blood-forming organs and certain disorders involving the immune mechanism (d50-d89) \ Other disorders of blood and blood-forming organs (d70-d77) \ Neutropenia \ Agranulocytosis secondary to cancer chemotherapy</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients who have been diagnosed with Malignant neoplasm of the prostate and have also been diagnosed with Agranulocytosis secondary to cancer chemotherapy.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Diabetes mellit@16:49:47</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Diabetes mellitus</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine disorders \ Other endocrine gland diseases \ Diabetes mellitus</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients with a diagnosis of diabetes mellitus, with no specific timing requirement and a high accuracy level, using the i2b2 query builder.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>'Essential (Pri@17:51:24</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)'Essential (Primary) Hypertension' and 'Diabetes Mellitus (e08-e13)'</item_name> <item_key>masterid:4725</item_key> <tooltip>'Essential (Primary) Hypertension' and 'Diabetes Mellitus (e08-e13)'</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>PATIENT:HIVE:1000000045</item_name> <item_key>PATIENT:HIVE:1000000045</item_key> <tooltip>PATIENT:HIVE:1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a diagnosis of Essential (Primary) Hypertension and Diabetes Mellitus (e08-e13) in the i2b2 database, specifically for patient HIVE:1000000045, with a high level of accuracy (1000%) and no synonyms considered, within any time frame.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Essen-D-Person_@19:14:26</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>1</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Essen-Diabe-Perso@19:02:12</item_name> <item_key>masterid:4625</item_key> <tooltip>Essen-Diabe-Perso@19:02:12</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Person_#1000000045</item_name> <item_key>masterid:3740</item_key> <tooltip>Person_#1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients who have been diagnosed with diabetes (from the Essen-Diabe-Perso@19:02:12 query) and are also associated with the person ID 100000045 (from the Person_#100000045 query). The query is designed to have a high specificity and accuracy, and it covers any time period (ANY timing). The query is not a synonym and is composed of two panels. The first panel includes the Essen-Diabe-Perso@19:02:12 query, which is the inverse of the panel, meaning that it excludes patients who do not meet this criteria. The second panel includes the Person_#100000045 query, which is not inverted, meaning it includes patients who match this criteria.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Perso-Essen-Diabe@19:20:30</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Person_#1000000045</item_name> <item_key>masterid:3740</item_key> <tooltip>Person_#1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Essential hypertension</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\(401) Essential hypertension\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Hypertensive disease \ Essential hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find a query that identifies a specific person (Person_#1000000045) with a diagnosis of essential hypertension (401-405) and diabetes mellitus (e08-e13) in the i2b2 database, considering all time frames (ANY timing) and with a high accuracy (1000% accuracy scale). The query will not be inverted, meaning it will only return records that match the specified criteria.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>'Essential (Pri@17:54:56</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)'Essential (Primary) Hypertension' and 'Diabetes Mellitus (e08-e13)'</item_name> <item_key>masterid:4725</item_key> <tooltip>'Essential (Primary) Hypertension' and 'Diabetes Mellitus (e08-e13)'</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>PATIENT:HIVE:1000000045</item_name> <item_key>PATIENT:HIVE:1000000045</item_key> <tooltip>PATIENT:HIVE:1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with both essential (primary) hypertension and diabetes mellitus (e08-e13) in their medical records, and I want to limit the search to a specific patient identified by the HIVE ID 1000000045.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>PATIENTSET@16:26:27</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>Patient Set for "Female@11:25:21" - FINISHEDPatient list</item_name> <item_key>patient_set_coll_id:999</item_key> <tooltip>Patient Set for "Female@11:25:21" - FINISHEDPatient list</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find a patient set that includes all female patients with a specific condition or characteristic, and I want to create a query using the i2b2 query builder XML that will retrieve this information. The query should be applied to any time period, have a specificity scale of 0, an accuracy scale of 100, and retrieve only one item from the panel. The panel will include a collection of patient IDs associated with the female patient set, which is a finished patient list.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Perso-Essen-Diabe@19:24:08</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Person_#1000000045</item_name> <item_key>masterid:3740</item_key> <tooltip>Person_#1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>1</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Essential hypertension</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\(401) Essential hypertension\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Hypertensive disease \ Essential hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>1</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find a patient who has been diagnosed with essential hypertension (401) and diabetes mellitus (e08-e13) with a specificity of 100 and a timing of ANY. The patient's identifier is Person_#1000000045, and the query should exclude any synonyms for these conditions.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Perso-Diabe-Essen@19:33:08</query_name> <query_timing>SAMEVISIT</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>SAMEVISIT</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Person_#1000000045</item_name> <item_key>masterid:3740</item_key> <tooltip>Person_#1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>SAMEVISIT</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>SAMEVISIT</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find a query that identifies patients with a diagnosis of diabetes mellitus (e08-e13) and essential (primary) hypertension (i10) who have also been identified as Person_#1000000045, and all diagnoses must have occurred during the same visit with an accuracy scale of 100 and specificity scale of 0.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Essen-Diabe-Perso@19:36:49</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Person_#1000000045</item_name> <item_key>masterid:3740</item_key> <tooltip>Person_#1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all instances of essential (primary) hypertension (I10) and diabetes mellitus (E08-E13) diagnoses for a specific patient (Person_#100000045) within the ICD10_ICD9 Diagnoses category, with no specific timing constraints.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>PATIENT:HIVE:10@17:57:26</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>PATIENT:HIVE:1000000045</item_name> <item_key>PATIENT:HIVE:1000000045</item_key> <tooltip>PATIENT:HIVE:1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients with the specific query name "PATIENT:HIVE:10@17:57:26" at any time (ANY timing) with a specificity scale of 0 and a panel number of 1, where the accuracy scale is 100 and the panel timing is also ANY, with a total of 1 item occurrence. The item name is "PATIENT:HIVE:100000045" and the item key is also "PATIENT:HIVE:100000045", and it is not a synonym.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>(t) Operations on cOperations on rLaboratory Test@13:46:51</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Operations on cardiovascular system</item_name> <item_key>\\i2b2_PROC\i2b2\Procedures\PRC\ICD9 (Inpatient)\(35-39) Operations on cardiovascular system\</item_key> <item_icon>FA</item_icon> <tooltip>Procedures \ ICD9 (Inpatient) \ Operations on cardiovascular system</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <subquery_constraint> <first_query> <query_id>Observation A</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>ANY</aggregate_operator> </first_query> <operator>LESS</operator> <second_query> <query_id>Observation C</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>ANY</aggregate_operator> </second_query> <operator>LESSEQUAL</operator> <span_value>10</span_value> <units>DAY</units> </subquery_constraint> <subquery> <query_id>Observation A</query_id> <query_type>EVENT</query_type> <query_name>Observation A</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>0</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Operations on respiratory system</item_name> <item_key>\\i2b2_PROC\i2b2\Procedures\PRC\ICD9 (Inpatient)\(30-34) Operations on respiratory system\</item_key> <item_icon>FA</item_icon> <tooltip>Procedures \ ICD9 (Inpatient) \ Operations on respiratory system</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </subquery> <subquery> <query_id>Observation C</query_id> <query_type>EVENT</query_type> <query_name>Observation C</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>0</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>1</hlevel> <item_name>Laboratory Tests</item_name> <item_key>\\i2b2_LABS\i2b2\Labtests\</item_key> <item_icon>FA</item_icon> <tooltip>Labtests</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </subquery> </ns4:query_definition> ```

I want to find patients who have had operations on the cardiovascular system (ICD9 code 3-39) within the same encounter as a laboratory test (Labtests) and the operation occurred less than or equal to 10 days before the laboratory test.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Essen-Diabe-Perso@19:44:57</query_name> <query_timing>SAMEVISIT</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>SAMEVISIT</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>SAMEVISIT</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>SAMEVISIT</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Person_#1000000045</item_name> <item_key>masterid:3740</item_key> <tooltip>Person_#1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a diagnosis of essential (primary) hypertension (ICD-9 code: I10) and diabetes mellitus (ICD-9 code: E08-E13) within the same visit, and who have been seen by the provider with the master ID 340.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Essen-Diabe-Outpa@19:52:37</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Person_#1000000045</item_name> <item_key>masterid:3740</item_key> <tooltip>Person_#1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Person_#1000000045</item_name> <item_key>masterid:3740</item_key> <tooltip>Person_#1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>0</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>2</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Outpatient visit</item_name> <item_key>\\i2b2_VISIT\i2b2\Visit Details\Visit type\Outpatient visit\</item_key> <item_icon>LA</item_icon> <tooltip>Visit Details \ Visit type \ Outpatient visit</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a diagnosis of essential (primary) hypertension (ICD-9 code I10) and diabetes mellitus (ICD-9 code E08-E13) who have had at least one outpatient visit.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Essen-Diabe-Outpa@19:53:58</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>0</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>2</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Outpatient visit</item_name> <item_key>\\i2b2_VISIT\i2b2\Visit Details\Visit type\Outpatient visit\</item_key> <item_icon>LA</item_icon> <tooltip>Visit Details \ Visit type \ Outpatient visit</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Person_#1000000045</item_name> <item_key>masterid:3473</item_key> <tooltip>Person_#1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a diagnosis of essential (primary) hypertension and diabetes mellitus, with an outpatient visit, who are associated with the person record #100000045.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Male@21:31:47</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Male</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Male\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Male</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all male patients in the i2b2 database, regardless of the time frame, with a high level of specificity (1000%) and accuracy, and the query will be applied to the first panel.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>(t) FemaleChest painAsthma@16:24:13</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Male</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Male\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Male</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <subquery_constraint> <first_query> <query_id>Event 1</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>FIRST</aggregate_operator> </first_query> <operator>LESS</operator> <second_query> <query_id>Event 2</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>FIRST</aggregate_operator> </second_query> <operator>GREATEREQUAL</operator> <span_value>1</span_value> <units>YEAR</units> </subquery_constraint> <subquery> <query_id>Event 1</query_id> <query_type>EVENT</query_type> <query_name>Event 1</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Chest pain</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Symptoms, signs, and ill-defined conditions (780-799)\Symptoms (780-789)\(786) Symptoms involving respirat~\(786-5) Chest pain\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Symptoms, signs, and ill-defined conditions \ Symptoms \ Symptoms involving respiratory system and other chest symptoms \ Chest pain</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </subquery> <subquery> <query_id>Event 2</query_id> <query_type>EVENT</query_type> <query_name>Event 2</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Asthma</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Respiratory system (460-519)\Chronic obstructive diseases (490-496)\(493) Asthma\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Respiratory system \ Chronic obstructive diseases \ Asthma</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </subquery> </ns4:query_definition> ```

I want to find female patients who have experienced chest pain and have been diagnosed with asthma within the last year.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Essen-Diabe-Perso@19:48:48</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>0</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>2</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Person_#1000000045</item_name> <item_key>masterid:3740</item_key> <tooltip>Person_#1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a diagnosis of essential (primary) hypertension (ICD10 code I10) and diabetes mellitus (ICD9 code E08-E13) in their medical records, specifically for a person with master ID 100000045, and I want to search for these conditions regardless of when they were diagnosed.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Essen-Diabe-Perso@19:50:47</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>0</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>2</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Person_#1000000045</item_name> <item_key>masterid:3740</item_key> <tooltip>Person_#1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Outpatient visit</item_name> <item_key>\\i2b2_VISIT\i2b2\Visit Details\Visit type\Outpatient visit\</item_key> <item_icon>LA</item_icon> <tooltip>Visit Details \ Visit type \ Outpatient visit</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a diagnosis of essential (primary) hypertension (ICD10-ICD9 codes I10-I15) and diabetes mellitus (ICD10-ICD9 codes E08-E13) who have had an outpatient visit, and are associated with person ID 100000045. The specificity scale is set to 0, indicating that all patients meeting these criteria should be included, and the accuracy scale for each panel is set to 100, meaning that the diagnosis codes should be exact matches. The query timing is set to ANY, so it includes encounters from any time period.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Essen-Diabe-Perso@19:51:42</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>0</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>2</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Person_#1000000045</item_name> <item_key>masterid:3740</item_key> <tooltip>Person_#1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Outpatient visit</item_name> <item_key>\\i2b2_VISIT\i2b2\Visit Details\Visit type\Outpatient visit\</item_key> <item_icon>LA</item_icon> <tooltip>Visit Details \ Visit type \ Outpatient visit</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a diagnosis of essential (primary) hypertension (I10) and diabetes mellitus (E08-E13) who have had an outpatient visit, and are also identified as Person_#100000045.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Atrial fibrilla@15:36:53</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Atrial fibrillation</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Other forms of heart disease (420-429)\(427) Cardiac dysrhythmias\(427-3) Atrial fibrillation and f~\(427-31) Atrial fibrillation\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Other forms of heart disease \ Cardiac dysrhythmias \ Atrial fibrillation and flutter \ Atrial fibrillation</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all instances of Atrial fibrillation diagnoses in the i2b2 database, with a specificity scale of 0 and a total occurrence of 1, and the query should be applied to any time frame.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Length of stay@19:24:25</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Length of stay</item_name> <item_key>\\i2b2_VISIT\i2b2\Visit Details\Length of stay\</item_key> <item_icon>FA</item_icon> <tooltip>Visit Details \ Length of stay</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find the length of stay for any patient visit, with an accuracy scale of 100 and no specificity or timing constraints, displaying the information in the Visit Details panel, using the i2b2 query builder.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Essen-Diabe-Outpa@19:53:36</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>0</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>2</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Outpatient visit</item_name> <item_key>\\i2b2_VISIT\i2b2\Visit Details\Visit type\Outpatient visit\</item_key> <item_icon>LA</item_icon> <tooltip>Visit Details \ Visit type \ Outpatient visit</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a diagnosis of essential (primary) hypertension and diabetes mellitus (e08-e13) who have had an outpatient visit.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Essen-Diabe-Outpa@19:54:43</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>0</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>2</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Outpatient visit</item_name> <item_key>\\i2b2_VISIT\i2b2\Visit Details\Visit type\Outpatient visit\</item_key> <item_icon>LA</item_icon> <tooltip>Visit Details \ Visit type \ Outpatient visit</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Person_#1000000045</item_name> <item_key>masterid:3473</item_key> <tooltip>Person_#1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a diagnosis of essential (primary) hypertension (I10) and diabetes mellitus (E08-E13) who have had an outpatient visit. The search will be focused on a specific person with the master ID 343.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Essen-Diabe-Perso@19:55:29</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>0</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>2</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Person_#1000000045</item_name> <item_key>masterid:3473</item_key> <tooltip>Person_#1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Outpatient visit</item_name> <item_key>\\i2b2_VISIT\i2b2\Visit Details\Visit type\Outpatient visit\</item_key> <item_icon>LA</item_icon> <tooltip>Visit Details \ Visit type \ Outpatient visit</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a diagnosis of essential (primary) hypertension and diabetes mellitus who have had an outpatient visit, specifically looking at the records of Person_#100000045 in the database.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>PATIENT-'Essent@20:13:12</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>Encounter Set for "Person_#1000000045"Encounter setFINISHED</item_name> <item_key>patient_set_enc_id:10655</item_key> <tooltip>Encounter Set for "Person_#1000000045"Encounter setFINISHED</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)'Essential (Primary) Hypertension' and 'Diabetes Mellitus (e08-e13)'</item_name> <item_key>masterid:4725</item_key> <tooltip>'Essential (Primary) Hypertension' and 'Diabetes Mellitus (e08-e13)'</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a history of both Essential (Primary) Hypertension and Diabetes Mellitus (e08-e13) in the specified encounter set for Person_#100000045, where the encounter has been finished.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Assault-Assault@21:32:28</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Assault (x92-y08)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(V00-Y99) Exte~2k58\(X92-Y08) Assa~4b66\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ External causes of morbidity (v00-y99) \ Assault (x92-y08)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Assault by crashing of motor vehicle</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(V00-Y99) Exte~2k58\(X92-Y08) Assa~4b66\(Y03) Assault~rwkc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ External causes of morbidity (v00-y99) \ Assault (x92-y08) \ Assault by crashing of motor vehicle</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all cases of assault, including assault by crashing of motor vehicle, with any timing and 1000% accuracy, using the ICD-10 and ICD-9 diagnostic codes, with no synonyms considered.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Essen-Diabe-Perso@19:55:41</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>0</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>2</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Person_#1000000045</item_name> <item_key>masterid:3473</item_key> <tooltip>Person_#1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Outpatient visit</item_name> <item_key>\\i2b2_VISIT\i2b2\Visit Details\Visit type\Outpatient visit\</item_key> <item_icon>LA</item_icon> <tooltip>Visit Details \ Visit type \ Outpatient visit</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find a query that searches for individuals with a diagnosis of essential (primary) hypertension and diabetes mellitus (e08-e13), with a specificity scale of 0, and an outpatient visit type, within the time frame of ANY, for a particular patient with the master ID of 343.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Perso-Essen-Diabe@20:01:09</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Person_#1000000045</item_name> <item_key>masterid:3740</item_key> <tooltip>Person_#1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find a query that identifies a person with a master ID of 3740 who has been diagnosed with essential (primary) hypertension and diabetes mellitus, using any specificity scale, accuracy scale, and timing. The query includes three panels: the first panel refers to the person with the specified master ID, the second panel focuses on essential (primary) hypertension, and the third panel focuses on diabetes mellitus.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Person_#1000000@20:05:41</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Person_#1000000045</item_name> <item_key>masterid:3740</item_key> <tooltip>Person_#1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a history of essential (primary) hypertension and diabetes mellitus (e08-e13) using the i2b2 query builder, with the specificity scale set to 0 and the panel accuracy scale set to 100, and the panel timing set to ANY. The query will include two items: the first item is a synonym for the patient's master ID, and the second item is a combination of ICD-10 and ICD-9 diagnoses codes for essential (primary) hypertension, and the third item is a combination of ICD-10 and ICD-9 diagnoses codes for diabetes mellitus. The panel will have a total of 1 occurrence, and the query timing will be set to ANY.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>PATIENTSETFINIS@18:03:04</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>Patient Set for "'Essential (Pri@13:48:19"Patient setFINISHED</item_name> <item_key>patient_set_coll_id:17454</item_key> <tooltip>Patient Set for "'Essential (Pri@13:48:19"Patient setFINISHED</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find all patients who are part of the "Essential (Pri@13:48:19"Patient setFINISHED" patient set, with a specificity scale of 0 and an accuracy scale of 100, and the query should be applied to any time period.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>'Essential (Pri@13:19:05</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)'Essential (Pri@14:36:21</item_name> <item_key>masterid:8533</item_key> <tooltip>'Essential (Pri@14:36:21</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients who have had an encounter at 13:19:05 with a specificity scale of 0, and the panel timing set to ANY, with a panel accuracy scale of 100, and the query is not inverted. The query will also include the result of another query with the name 'Essential (Pri@4:36:21' in the first panel, and the hlevel is set to 0. The tooltip for this query is 'Essential (Pri@14:36:21' and it is not a synonym.

```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Essen-Diabe-Perso@19:56:08</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Diabetes mellitus (e08-e13)</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E08-E13) Diab~1uxc\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Diabetes mellitus (e08-e13)</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>0</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>2</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Person_#1000000045</item_name> <item_key>masterid:3473</item_key> <tooltip>Person_#1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Outpatient visit</item_name> <item_key>\\i2b2_VISIT\i2b2\Visit Details\Visit type\Outpatient visit\</item_key> <item_icon>LA</item_icon> <tooltip>Visit Details \ Visit type \ Outpatient visit</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```

I want to find patients with a diagnosis of essential (primary) hypertension and diabetes mellitus who have had an outpatient visit and are associated with person_id 100000045 in the database.