Datasets:

adjeNole

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EHRSQL_DIRECT_PROMPT

like 0

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: have any laboratory tests been performed since 2102 on patient 21454? # SQLQuery:

select count(*)>0 from labevents where labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 21454 ) and strftime('%y',labevents.charttime) >= '2102'

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: has patient 72198 received any lab test until 06/2105. # SQLQuery:

select count(*)>0 from labevents where labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 72198 ) and strftime('%y-%m',labevents.charttime) <= '2105-06'

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: had patient 9964 received any laboratory test during this hospital visit? # SQLQuery:

select count(*)>0 from labevents where labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 9964 and admissions.dischtime is null )

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: has patient 40059 received a lab test? # SQLQuery:

select count(*)>0 from labevents where labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 40059 )

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: did patient 52598 get a lab test since 4 years ago. # SQLQuery:

select count(*)>0 from labevents where labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 52598 ) and datetime(labevents.charttime) >= datetime(current_time,'-4 year')

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: had patient 99647 ever taken a laboratory test since 12/2102? # SQLQuery:

select count(*)>0 from labevents where labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 99647 ) and strftime('%y-%m',labevents.charttime) >= '2102-12'

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: had patient 94229 ever received lab tests in this hospital visit? # SQLQuery:

select count(*)>0 from labevents where labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 94229 and admissions.dischtime is null )

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: has patient 23436 ever had a lab test done in this hospital visit? # SQLQuery:

select count(*)>0 from labevents where labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 23436 and admissions.dischtime is null )

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: has patient 83499 gone through any lab test since 1 year ago? # SQLQuery:

select count(*)>0 from labevents where labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 83499 ) and datetime(labevents.charttime) >= datetime(current_time,'-1 year')

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: had patient 97834 ever received a lab test until 93 months ago? # SQLQuery:

select count(*)>0 from labevents where labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 97834 ) and datetime(labevents.charttime) <= datetime(current_time,'-93 month')

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: in 07/this year has patient 14621 undergone lab tests? # SQLQuery:

select count(*)>0 from labevents where labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 14621 ) and datetime(labevents.charttime,'start of year') = datetime(current_time,'start of year','-0 year') and strftime('%m',labevents.charttime) = '07'

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: had patient 1784 ever received a lab test in this year? # SQLQuery:

select count(*)>0 from labevents where labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 1784 ) and datetime(labevents.charttime,'start of year') = datetime(current_time,'start of year','-0 year')

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: has patient 98177 had laboratory tests since 155 months ago? # SQLQuery:

select count(*)>0 from labevents where labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 98177 ) and datetime(labevents.charttime) >= datetime(current_time,'-155 month')

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: had patient 10211 undergone any lab tests the last year? # SQLQuery:

select count(*)>0 from labevents where labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 10211 ) and datetime(labevents.charttime,'start of year') = datetime(current_time,'start of year','-1 year')

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: in 2105 has patient 5887 received any lab test? # SQLQuery:

select count(*)>0 from labevents where labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 5887 ) and strftime('%y',labevents.charttime) = '2105'

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: does patient 12568 ever underwent a base excess test? # SQLQuery:

select count(*)>0 from labevents where labevents.itemid in ( select d_labitems.itemid from d_labitems where d_labitems.label = 'base excess' ) and labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 12568 )

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: this month patient 55360 received a laboratory test for metamyelocytes? # SQLQuery:

select count(*)>0 from labevents where labevents.itemid in ( select d_labitems.itemid from d_labitems where d_labitems.label = 'metamyelocytes' ) and labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 55360 ) and datetime(labevents.charttime,'start of month') = datetime(current_time,'start of month','-0 month')

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: did patient 15945 in 12/this year get an specific gravity lab test? # SQLQuery:

select count(*)>0 from labevents where labevents.itemid in ( select d_labitems.itemid from d_labitems where d_labitems.label = 'specific gravity' ) and labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 15945 ) and datetime(labevents.charttime,'start of year') = datetime(current_time,'start of year','-0 year') and strftime('%m',labevents.charttime) = '12'

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: has patient 60136 been tested for urea nitrogen on the current hospital visit? # SQLQuery:

select count(*)>0 from labevents where labevents.itemid in ( select d_labitems.itemid from d_labitems where d_labitems.label = 'urea nitrogen' ) and labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 60136 and admissions.dischtime is null )

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: has patient 32168 given a test on nucleated red cells during the last hospital visit? # SQLQuery:

select count(*)>0 from labevents where labevents.itemid in ( select d_labitems.itemid from d_labitems where d_labitems.label = 'nucleated red cells' ) and labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 32168 and admissions.dischtime is not null order by admissions.admittime desc limit 1 )

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: did patient 70516 have any tests for phosphate since 3 years ago? # SQLQuery:

select count(*)>0 from labevents where labevents.itemid in ( select d_labitems.itemid from d_labitems where d_labitems.label = 'phosphate' ) and labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 70516 ) and datetime(labevents.charttime) >= datetime(current_time,'-3 year')

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: has patient 42829 since 58 months ago received a test of sodium, whole blood? # SQLQuery:

select count(*)>0 from labevents where labevents.itemid in ( select d_labitems.itemid from d_labitems where d_labitems.label = 'sodium, whole blood' ) and labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 42829 ) and datetime(labevents.charttime) >= datetime(current_time,'-58 month')

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: did patient 30826 receive any tests for free calcium in this month? # SQLQuery:

select count(*)>0 from labevents where labevents.itemid in ( select d_labitems.itemid from d_labitems where d_labitems.label = 'free calcium' ) and labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 30826 ) and datetime(labevents.charttime,'start of month') = datetime(current_time,'start of month','-0 month')

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: did patient 40435 receive any white blood cells lab tests this month? # SQLQuery:

select count(*)>0 from labevents where labevents.itemid in ( select d_labitems.itemid from d_labitems where d_labitems.label = 'white blood cells' ) and labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 40435 ) and datetime(labevents.charttime,'start of month') = datetime(current_time,'start of month','-0 month')

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: in 08/last year has received patient 8324 a monocytes lab test? # SQLQuery:

select count(*)>0 from labevents where labevents.itemid in ( select d_labitems.itemid from d_labitems where d_labitems.label = 'monocytes' ) and labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 8324 ) and datetime(labevents.charttime,'start of year') = datetime(current_time,'start of year','-1 year') and strftime('%m',labevents.charttime) = '08'

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: have patient 96006 been tested for atypical lymphocytes? # SQLQuery:

select count(*)>0 from labevents where labevents.itemid in ( select d_labitems.itemid from d_labitems where d_labitems.label = 'atypical lymphocytes' ) and labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 96006 )

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: has patient 3229 in 12/2105 been tested for the po2? # SQLQuery:

select count(*)>0 from labevents where labevents.itemid in ( select d_labitems.itemid from d_labitems where d_labitems.label = 'po2' ) and labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 3229 ) and strftime('%y-%m',labevents.charttime) = '2105-12'

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: has patient 25869 had pco2 tests in 2105? # SQLQuery:

select count(*)>0 from labevents where labevents.itemid in ( select d_labitems.itemid from d_labitems where d_labitems.label = 'pco2' ) and labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 25869 ) and strftime('%y',labevents.charttime) = '2105'

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: have patient 76327's received tests during their first hospital encounter for alanine aminotransferase (alt)? # SQLQuery:

select count(*)>0 from labevents where labevents.itemid in ( select d_labitems.itemid from d_labitems where d_labitems.label = 'alanine aminotransferase (alt)' ) and labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 76327 and admissions.dischtime is not null order by admissions.admittime asc limit 1 )

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: since 3 years ago, patient 88659 has been tested for rbc, pleural? # SQLQuery:

select count(*)>0 from labevents where labevents.itemid in ( select d_labitems.itemid from d_labitems where d_labitems.label = 'rbc, pleural' ) and labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 88659 ) and datetime(labevents.charttime) >= datetime(current_time,'-3 year')

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: did patient 2957 since 5 years ago have a alkaline phosphatase test? # SQLQuery:

select count(*)>0 from labevents where labevents.itemid in ( select d_labitems.itemid from d_labitems where d_labitems.label = 'alkaline phosphatase' ) and labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 2957 ) and datetime(labevents.charttime) >= datetime(current_time,'-5 year')

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: has patient 82132 received an anion gap test during the current hospital encounter? # SQLQuery:

select count(*)>0 from labevents where labevents.itemid in ( select d_labitems.itemid from d_labitems where d_labitems.label = 'anion gap' ) and labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 82132 and admissions.dischtime is null )

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: did patient 32486 take a lactate test until 2 years ago? # SQLQuery:

select count(*)>0 from labevents where labevents.itemid in ( select d_labitems.itemid from d_labitems where d_labitems.label = 'lactate' ) and labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 32486 ) and datetime(labevents.charttime) <= datetime(current_time,'-2 year')

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: has patient 25628 received a albumin lab in 01/this year? # SQLQuery:

select count(*)>0 from labevents where labevents.itemid in ( select d_labitems.itemid from d_labitems where d_labitems.label = 'albumin' ) and labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 25628 ) and datetime(labevents.charttime,'start of year') = datetime(current_time,'start of year','-0 year') and strftime('%m',labevents.charttime) = '01'

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: have had a phosphate test done to patient 9833 until 73 months ago? # SQLQuery:

select count(*)>0 from labevents where labevents.itemid in ( select d_labitems.itemid from d_labitems where d_labitems.label = 'phosphate' ) and labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 9833 ) and datetime(labevents.charttime) <= datetime(current_time,'-73 month')

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: was patient 25869 underwent a pco2 test in 2105? # SQLQuery:

select count(*)>0 from labevents where labevents.itemid in ( select d_labitems.itemid from d_labitems where d_labitems.label = 'pco2' ) and labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 25869 ) and strftime('%y',labevents.charttime) = '2105'

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: did patient 80555 go in for a calculated total co2 lab test? # SQLQuery:

select count(*)>0 from labevents where labevents.itemid in ( select d_labitems.itemid from d_labitems where d_labitems.label = 'calculated total co2' ) and labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 80555 )

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: did patient 17944 during this year receive a base excess lab test? # SQLQuery:

select count(*)>0 from labevents where labevents.itemid in ( select d_labitems.itemid from d_labitems where d_labitems.label = 'base excess' ) and labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 17944 ) and datetime(labevents.charttime,'start of year') = datetime(current_time,'start of year','-0 year')

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: had patient 9833 undergone a phosphate test until 73 months ago? # SQLQuery:

select count(*)>0 from labevents where labevents.itemid in ( select d_labitems.itemid from d_labitems where d_labitems.label = 'phosphate' ) and labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 9833 ) and datetime(labevents.charttime) <= datetime(current_time,'-73 month')

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: did patient 162 get tested in the po2 lab in 04/last year? # SQLQuery:

select count(*)>0 from labevents where labevents.itemid in ( select d_labitems.itemid from d_labitems where d_labitems.label = 'po2' ) and labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 162 ) and datetime(labevents.charttime,'start of year') = datetime(current_time,'start of year','-1 year') and strftime('%m',labevents.charttime) = '04'

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: since 2104 has patient 13528 had a lactate lab test? # SQLQuery:

select count(*)>0 from labevents where labevents.itemid in ( select d_labitems.itemid from d_labitems where d_labitems.label = 'lactate' ) and labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 13528 ) and strftime('%y',labevents.charttime) >= '2104'

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: did patient 26262 have a laboratory test of amylase since 2104? # SQLQuery:

select count(*)>0 from labevents where labevents.itemid in ( select d_labitems.itemid from d_labitems where d_labitems.label = 'amylase' ) and labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 26262 ) and strftime('%y',labevents.charttime) >= '2104'

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: has patient 82132 had any anion gap lab tests done during the current hospital visit? # SQLQuery:

select count(*)>0 from labevents where labevents.itemid in ( select d_labitems.itemid from d_labitems where d_labitems.label = 'anion gap' ) and labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 82132 and admissions.dischtime is null )

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: have patient 14836 had a hematocrit test in 2105? # SQLQuery:

select count(*)>0 from labevents where labevents.itemid in ( select d_labitems.itemid from d_labitems where d_labitems.label = 'hematocrit' ) and labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 14836 ) and strftime('%y',labevents.charttime) = '2105'

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: had patient 89875 received a vancomycin tests since 12/2104? # SQLQuery:

select count(*)>0 from labevents where labevents.itemid in ( select d_labitems.itemid from d_labitems where d_labitems.label = 'vancomycin' ) and labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 89875 ) and strftime('%y-%m',labevents.charttime) >= '2104-12'

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: did patient 63368 have a bicarbonate test done in 02/last year? # SQLQuery:

select count(*)>0 from labevents where labevents.itemid in ( select d_labitems.itemid from d_labitems where d_labitems.label = 'bicarbonate' ) and labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 63368 ) and datetime(labevents.charttime,'start of year') = datetime(current_time,'start of year','-1 year') and strftime('%m',labevents.charttime) = '02'

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: did patient 1457 get a lab magnesium test since 2 years ago? # SQLQuery:

select count(*)>0 from labevents where labevents.itemid in ( select d_labitems.itemid from d_labitems where d_labitems.label = 'magnesium' ) and labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 1457 ) and datetime(labevents.charttime) >= datetime(current_time,'-2 year')

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: was there an oxygen lab test performed on patient 25763 since 90 months ago? # SQLQuery:

select count(*)>0 from labevents where labevents.itemid in ( select d_labitems.itemid from d_labitems where d_labitems.label = 'oxygen' ) and labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 25763 ) and datetime(labevents.charttime) >= datetime(current_time,'-90 month')

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: did patient 10855 receive the rbc lab test since 111 months ago? # SQLQuery:

select count(*)>0 from labevents where labevents.itemid in ( select d_labitems.itemid from d_labitems where d_labitems.label = 'rbc' ) and labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 10855 ) and datetime(labevents.charttime) >= datetime(current_time,'-111 month')

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: did patient 62413 get a anion gap laboratory test in 02/this year? # SQLQuery:

select count(*)>0 from labevents where labevents.itemid in ( select d_labitems.itemid from d_labitems where d_labitems.label = 'anion gap' ) and labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 62413 ) and datetime(labevents.charttime,'start of year') = datetime(current_time,'start of year','-0 year') and strftime('%m',labevents.charttime) = '02'

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: has patient 370 since 88 months ago received a pco2 test? # SQLQuery:

select count(*)>0 from labevents where labevents.itemid in ( select d_labitems.itemid from d_labitems where d_labitems.label = 'pco2' ) and labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 370 ) and datetime(labevents.charttime) >= datetime(current_time,'-88 month')

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: has patient 59049 had a lab test of neutrophils during this year? # SQLQuery:

select count(*)>0 from labevents where labevents.itemid in ( select d_labitems.itemid from d_labitems where d_labitems.label = 'neutrophils' ) and labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 59049 ) and datetime(labevents.charttime,'start of year') = datetime(current_time,'start of year','-0 year')

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: did patient 14467 have a albumin laboratory test in 08/this year? # SQLQuery:

select count(*)>0 from labevents where labevents.itemid in ( select d_labitems.itemid from d_labitems where d_labitems.label = 'albumin' ) and labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 14467 ) and datetime(labevents.charttime,'start of year') = datetime(current_time,'start of year','-0 year') and strftime('%m',labevents.charttime) = '08'

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: was there a phosphate test done on patient 9833 until 73 months ago? # SQLQuery:

select count(*)>0 from labevents where labevents.itemid in ( select d_labitems.itemid from d_labitems where d_labitems.label = 'phosphate' ) and labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 9833 ) and datetime(labevents.charttime) <= datetime(current_time,'-73 month')

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: had patient 74159 received a test of oxygen saturation in their first hospital visit? # SQLQuery:

select count(*)>0 from labevents where labevents.itemid in ( select d_labitems.itemid from d_labitems where d_labitems.label = 'oxygen saturation' ) and labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 74159 and admissions.dischtime is not null order by admissions.admittime asc limit 1 )

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: was there a urea nitrogen lab test performed on patient 15945 in 12/2105? # SQLQuery:

select count(*)>0 from labevents where labevents.itemid in ( select d_labitems.itemid from d_labitems where d_labitems.label = 'urea nitrogen' ) and labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 15945 ) and strftime('%y-%m',labevents.charttime) = '2105-12'

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: had patient 11826 received a glucose tests in the current hospital visit? # SQLQuery:

select count(*)>0 from labevents where labevents.itemid in ( select d_labitems.itemid from d_labitems where d_labitems.label = 'glucose' ) and labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 11826 and admissions.dischtime is null )

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: did patient 25733 receive any mchc lab tests on the current hospital visit? # SQLQuery:

select count(*)>0 from labevents where labevents.itemid in ( select d_labitems.itemid from d_labitems where d_labitems.label = 'mchc' ) and labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 25733 and admissions.dischtime is null )

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: has there been a microbiology test conducted in 10/this year on patient 73713? # SQLQuery:

select count(*)>0 from microbiologyevents where microbiologyevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 73713 ) and datetime(microbiologyevents.charttime,'start of year') = datetime(current_time,'start of year','-0 year') and strftime('%m',microbiologyevents.charttime) = '10'

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: have there been any microbiology tests for patient 90663 on their current hospital visit? # SQLQuery:

select count(*)>0 from microbiologyevents where microbiologyevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 90663 and admissions.dischtime is null )

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: is there any results of the microbiology test carried out for patient 96404 in 10/last year? # SQLQuery:

select count(*)>0 from microbiologyevents where microbiologyevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 96404 ) and datetime(microbiologyevents.charttime,'start of year') = datetime(current_time,'start of year','-1 year') and strftime('%m',microbiologyevents.charttime) = '10'

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: have any microbiology test been performed since 07/2101 for patient 91004? # SQLQuery:

select count(*)>0 from microbiologyevents where microbiologyevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 91004 ) and strftime('%y-%m',microbiologyevents.charttime) >= '2101-07'

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: did patient 14054 have any microbiological results from the tests in 11/this year? # SQLQuery:

select count(*)>0 from microbiologyevents where microbiologyevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 14054 ) and datetime(microbiologyevents.charttime,'start of year') = datetime(current_time,'start of year','-0 year') and strftime('%m',microbiologyevents.charttime) = '11'

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: had there been a microbiology test done until 35 months ago for patient 46330? # SQLQuery:

select count(*)>0 from microbiologyevents where microbiologyevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 46330 ) and datetime(microbiologyevents.charttime) <= datetime(current_time,'-35 month')

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: has a microbiological test been carried out this year for patient 14621? # SQLQuery:

select count(*)>0 from microbiologyevents where microbiologyevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 14621 ) and datetime(microbiologyevents.charttime,'start of year') = datetime(current_time,'start of year','-0 year')

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: was there any microbiological test result of patient 10539 until 2103? # SQLQuery:

select count(*)>0 from microbiologyevents where microbiologyevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 10539 ) and strftime('%y',microbiologyevents.charttime) <= '2103'

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: until 02/2102 was there any microbiology test result for patient 76637? # SQLQuery:

select count(*)>0 from microbiologyevents where microbiologyevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 76637 ) and strftime('%y-%m',microbiologyevents.charttime) <= '2102-02'

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: in 2105 was there any microbiological test history of patient 68280? # SQLQuery:

select count(*)>0 from microbiologyevents where microbiologyevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 68280 ) and strftime('%y',microbiologyevents.charttime) = '2105'

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: is there any record of microbiology test done for patient 81432 in the previous year? # SQLQuery:

select count(*)>0 from microbiologyevents where microbiologyevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 81432 ) and datetime(microbiologyevents.charttime,'start of year') = datetime(current_time,'start of year','-1 year')

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: during this hospital visit, has a microbiology test been performed for patient 76327? # SQLQuery:

select count(*)>0 from microbiologyevents where microbiologyevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 76327 and admissions.dischtime is null )

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: did patient 65838 have the results of the microbiological tests in 2105? # SQLQuery:

select count(*)>0 from microbiologyevents where microbiologyevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 65838 ) and strftime('%y',microbiologyevents.charttime) = '2105'

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: had a microbiology test been done since 4 months ago for patient 76327? # SQLQuery:

select count(*)>0 from microbiologyevents where microbiologyevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 76327 ) and datetime(microbiologyevents.charttime) >= datetime(current_time,'-4 month')

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: did patient 17237 have any microbiological test result in 05/last year? # SQLQuery:

select count(*)>0 from microbiologyevents where microbiologyevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 17237 ) and datetime(microbiologyevents.charttime,'start of year') = datetime(current_time,'start of year','-1 year') and strftime('%m',microbiologyevents.charttime) = '05'

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: was there a microbiological test that was done to patient 5395 since 05/2100? # SQLQuery:

select count(*)>0 from microbiologyevents where microbiologyevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 5395 ) and strftime('%y-%m',microbiologyevents.charttime) >= '2100-05'

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: have there been any microbiological test history for patient 10539 until 2103? # SQLQuery:

select count(*)>0 from microbiologyevents where microbiologyevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 10539 ) and strftime('%y',microbiologyevents.charttime) <= '2103'

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: did patient 10855 have the result of the microbiology tests in 2105? # SQLQuery:

select count(*)>0 from microbiologyevents where microbiologyevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 10855 ) and strftime('%y',microbiologyevents.charttime) = '2105'

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: does patient 50065 have the result of his or her microbiology test since 2101? # SQLQuery:

select count(*)>0 from microbiologyevents where microbiologyevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 50065 ) and strftime('%y',microbiologyevents.charttime) >= '2101'

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: did patient 10539 ever have any microbiology tests done until 2103? # SQLQuery:

select count(*)>0 from microbiologyevents where microbiologyevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 10539 ) and strftime('%y',microbiologyevents.charttime) <= '2103'

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: have any microbiological tests been done for patient 59002 on the first hospital visit? # SQLQuery:

select count(*)>0 from microbiologyevents where microbiologyevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 59002 and admissions.dischtime is not null order by admissions.admittime asc limit 1 )

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: has there been any microbiology test conducted on patient 41014 during a year before? # SQLQuery:

select count(*)>0 from microbiologyevents where microbiologyevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 41014 ) and datetime(microbiologyevents.charttime,'start of year') = datetime(current_time,'start of year','-1 year')

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: has any microbiology test been performed on patient 76637 until 02/2102? # SQLQuery:

select count(*)>0 from microbiologyevents where microbiologyevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 76637 ) and strftime('%y-%m',microbiologyevents.charttime) <= '2102-02'

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: have there been any microbiological tests for patient 9519 since 5 years ago? # SQLQuery:

select count(*)>0 from microbiologyevents where microbiologyevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 9519 ) and datetime(microbiologyevents.charttime) >= datetime(current_time,'-5 year')

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: did any microbiology tests have been done for patient 10765 in 03/last year? # SQLQuery:

select count(*)>0 from microbiologyevents where microbiologyevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 10765 ) and datetime(microbiologyevents.charttime,'start of year') = datetime(current_time,'start of year','-1 year') and strftime('%m',microbiologyevents.charttime) = '03'

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: did patient 52898 have any microbiology test results in this month? # SQLQuery:

select count(*)>0 from microbiologyevents where microbiologyevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 52898 ) and datetime(microbiologyevents.charttime,'start of month') = datetime(current_time,'start of month','-0 month')

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: is there any microbiology test results for patient 73652 until 141 months ago? # SQLQuery:

select count(*)>0 from microbiologyevents where microbiologyevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 73652 ) and datetime(microbiologyevents.charttime) <= datetime(current_time,'-141 month')

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: is there a history of a microbiology test performed on patient 96833 since 6 years ago? # SQLQuery:

select count(*)>0 from microbiologyevents where microbiologyevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 96833 ) and datetime(microbiologyevents.charttime) >= datetime(current_time,'-6 year')

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: in the first hospital encounter, have there been any microbiology tests conducted for patient 59002? # SQLQuery:

select count(*)>0 from microbiologyevents where microbiologyevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 59002 and admissions.dischtime is not null order by admissions.admittime asc limit 1 )

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: has there been a microbiology test held during this month for patient 28447? # SQLQuery:

select count(*)>0 from microbiologyevents where microbiologyevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 28447 ) and datetime(microbiologyevents.charttime,'start of month') = datetime(current_time,'start of month','-0 month')

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: are there any results of patient 75658's microbiological test since 4 years ago? # SQLQuery:

select count(*)>0 from microbiologyevents where microbiologyevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 75658 ) and datetime(microbiologyevents.charttime) >= datetime(current_time,'-4 year')

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: is there any results of the microbiology test of patient 99647 in 12/this year? # SQLQuery:

select count(*)>0 from microbiologyevents where microbiologyevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 99647 ) and datetime(microbiologyevents.charttime,'start of year') = datetime(current_time,'start of year','-0 year') and strftime('%m',microbiologyevents.charttime) = '12'

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: did patient 57899 have any kind of microbiology test since 2105? # SQLQuery:

select count(*)>0 from microbiologyevents where microbiologyevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 57899 ) and strftime('%y',microbiologyevents.charttime) >= '2105'

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: were there any results of the microbiology tests for patient 24921 in 09/last year? # SQLQuery:

select count(*)>0 from microbiologyevents where microbiologyevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 24921 ) and datetime(microbiologyevents.charttime,'start of year') = datetime(current_time,'start of year','-1 year') and strftime('%m',microbiologyevents.charttime) = '09'

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: there is a microbiology test result for patient 96833 since 6 years ago? # SQLQuery:

select count(*)>0 from microbiologyevents where microbiologyevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 96833 ) and datetime(microbiologyevents.charttime) >= datetime(current_time,'-6 year')

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: is there a result of a microbiology test of patient 10624 in 12/2105? # SQLQuery:

select count(*)>0 from microbiologyevents where microbiologyevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 10624 ) and strftime('%y-%m',microbiologyevents.charttime) = '2105-12'

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: there is a microbiology test result during the last year for patient 81432? # SQLQuery:

select count(*)>0 from microbiologyevents where microbiologyevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 81432 ) and datetime(microbiologyevents.charttime,'start of year') = datetime(current_time,'start of year','-1 year')

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: has any microbiology test been performed on patient 96774 since 148 months ago? # SQLQuery:

select count(*)>0 from microbiologyevents where microbiologyevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 96774 ) and datetime(microbiologyevents.charttime) >= datetime(current_time,'-148 month')

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: has there been any microbiology test conducted on patient 10539 until 2103? # SQLQuery:

select count(*)>0 from microbiologyevents where microbiologyevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 10539 ) and strftime('%y',microbiologyevents.charttime) <= '2103'

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: there is a microbiology test result until 141 months ago for patient 73652? # SQLQuery:

select count(*)>0 from microbiologyevents where microbiologyevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 73652 ) and datetime(microbiologyevents.charttime) <= datetime(current_time,'-141 month')

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: in the previous year, have there been any microbiology tests conducted for patient 41014? # SQLQuery:

select count(*)>0 from microbiologyevents where microbiologyevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 41014 ) and datetime(microbiologyevents.charttime,'start of year') = datetime(current_time,'start of year','-1 year')

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: is there a history of a microbiology test performed on patient 26469 in 12/last year? # SQLQuery:

select count(*)>0 from microbiologyevents where microbiologyevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 26469 ) and datetime(microbiologyevents.charttime,'start of year') = datetime(current_time,'start of year','-1 year') and strftime('%m',microbiologyevents.charttime) = '12'