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[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: What is the most common condition among the patients who received influenza seasonal injectable preservative free immunization? [/INST] | SELECT T2.DESCRIPTION FROM immunizations AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.DESCRIPTION = 'Influenza seasonal injectable preservative free' GROUP BY T2.DESCRIPTION ORDER BY COUNT(T2.DESCRIPTION) DESC LIMIT 1; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: List the ids of all the patients with condition that has a prevalence percentage of 18.8%. [/INST] | SELECT DISTINCT T1.PATIENT FROM conditions AS T1 INNER JOIN all_prevalences AS T2 ON lower(T2.ITEM) = lower(T1.DESCRIPTION) WHERE T2."PREVALENCE PERCENTAGE" = CAST(18.8 AS float); |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: How many conditions did Tyree Eichmann have? [/INST] | SELECT COUNT(DISTINCT T2.DESCRIPTION) FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Tyree' AND T1.last = 'Eichmann'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: Among the patients who were immunized with meningococcal MCV4P, how many have viral sinusitis disorder after getting the immunization? [/INST] | SELECT COUNT(DISTINCT T1.patient) FROM immunizations AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.DESCRIPTION = 'meningococcal MCV4P' AND T2.DESCRIPTION = 'Viral sinusitis (disorder)'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: Among the patients with prediabetes, how many are female? [/INST] | SELECT COUNT(DISTINCT T2.patient) FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.gender = 'F' AND T1.DESCRIPTION = 'Prediabetes'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: Indicate the patient's full name with the lowest body mass index in kg/m2. [/INST] | SELECT T1.first, T1.last FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Body Mass Index' AND T2.UNITS = 'kg/m2' ORDER BY T2.VALUE LIMIT 1; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: What is the age of the patient with hypertension named Giovanni Russel? [/INST] | SELECT strftime('%Y', T2.deathdate) - strftime('%Y', T2.birthdate) AS age FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.first = 'Giovanni' AND T2.last = 'Russel' AND T1.DESCRIPTION = 'Hypertension'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: How many Asian female patients take oxaliplatin 5 MG/ML [Eloxatin]? [/INST] | SELECT COUNT(DISTINCT T2.patient) FROM medications AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'oxaliplatin 5 MG/ML [Eloxatin]' AND T2.race = 'asian' AND T2.gender = 'F'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: Count all of the living patients that had a stroke. [/INST] | SELECT COUNT(DISTINCT T2.patient) FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.description = 'Stroke' AND T2.deathdate IS NULL; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: What is the total number of Asian patients who are allergic to peanuts? [/INST] | SELECT COUNT(T2.patient) FROM allergies AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Allergy to peanuts' AND T2.race = 'asian'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: Among the patients with hypertension, what is the average of their diastolic blood pressure? [/INST] | SELECT AVG(T1.VALUE) FROM observations AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient INNER JOIN conditions AS T3 ON T2.patient = T3.PATIENT WHERE T3.DESCRIPTION = 'Hypertension' AND T1.DESCRIPTION = 'Diastolic Blood Pressure'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: What is the medicine prescribed for the patient with social security number 999-94-3751? [/INST] | SELECT T1.DESCRIPTION FROM medications AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.ssn = '999-94-3751'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: Give the social security number of the female Irish patient allergic to grass pollen. [/INST] | SELECT T2.ssn FROM allergies AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Allergy to grass pollen' AND T2.ethnicity = 'irish' AND T2.gender = 'F'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: Who is the patient involved in the care plan with code 311791003? [/INST] | SELECT T2.first, T2.last FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.CODE = 315043002; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: Among the patients that died, what is the condition of the oldest patient? [/INST] | SELECT T1.DESCRIPTION FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.deathdate IS NOT NULL ORDER BY strftime('%Y', T2.deathdate) - strftime('%Y', T2.birthdate) DESC LIMIT 1; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: What is the code of the prevalent disease with the highest occurrences? [/INST] | SELECT T2.code FROM all_prevalences AS T1 INNER JOIN conditions AS T2 ON T1.ITEM = T2.DESCRIPTION ORDER BY T1.OCCURRENCES DESC LIMIT 1; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: What is the glucose level of the patient that lives at 365 Della Crossroad Suite 202, Deerfield, MA 01342 US? [/INST] | SELECT DISTINCT T2.DESCRIPTION, T2.VALUE, T2.UNITS FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Glucose' AND T1.address = '365 Della Crossroad Suite 202 Deerfield MA 01342 US'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: Provide at least 5 social security numbers of patients with a prevalent disease with a prevalence percentage lower than 30% of the average prevalence percentage of conditions. [/INST] | SELECT DISTINCT T2.ssn FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient INNER JOIN all_prevalences AS T3 ON lower(T1.DESCRIPTION) = lower(T3.ITEM) WHERE CAST(T3."PREVALENCE PERCENTAGE" AS REAL) * 100 / ( SELECT AVG('PREVALENCE PERCENTAGE') FROM all_prevalences ) < 30 LIMIT 5; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: Among the patients with acute bronchitis, what is the percentage of Asian women? [/INST] | SELECT CAST(SUM(CASE WHEN T2.gender = 'F' AND T2.race = 'asian' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.gender) FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Acute bronchitis (disorder)'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: Provide the number of encounters for Major D'Amore. [/INST] | SELECT COUNT(T2.ID) FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Major' AND T1.last = 'D''Amore'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: List the procedures received by Emmy Waelchi. [/INST] | SELECT T2.DESCRIPTION FROM patients AS T1 INNER JOIN procedures AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Emmy' AND T1.last = 'Waelchi'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: Provide the patients' full names who received the extraction of wisdom tooth. [/INST] | SELECT T1.first, T1.last FROM patients AS T1 INNER JOIN procedures AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Extraction of wisdom tooth'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: Provide the body weight of Elly Koss in every observation. [/INST] | SELECT T2.DESCRIPTION, T2.VALUE, T2.UNITS FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.DESCRIPTION = 'Body Weight'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: Name the patients who had an allergy to soy. [/INST] | SELECT T1.first, T1.last FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Allergy to soya'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: How many times did Keven Kuhn receive DTaP immunization? [/INST] | SELECT COUNT(T2.CODE) FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Keven' AND T1.last = 'Kuhn' AND T2.DESCRIPTION = 'DTaP'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: Who had to take Clopidogrel 75 MG Oral Tablet for over 10 years? [/INST] | SELECT T1.first, T1.last FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Clopidogrel 75 MG Oral Tablet' AND strftime('%Y', T2.STOP) - strftime('%Y', T2.START) > 10; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: Which procedures and medications were received by the patient with the third-degree burn? [/INST] | SELECT DISTINCT T1.DESCRIPTION, T3.DESCRIPTION FROM procedures AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT INNER JOIN medications AS T3 ON T2.patient = T3.PATIENT WHERE T2.DESCRIPTION = 'Third degree burn'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: Provide medications received by patients with an allergy to mould on 6th June 2016. [/INST] | SELECT T2.DESCRIPTION FROM allergies AS T1 INNER JOIN medications AS T2 ON T1.PATIENT = T2.PATIENT WHERE T1.START = '6/6/16' AND T1.DESCRIPTION = 'Allergy to mould'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: Describe the care plans received by the patient with secondary malignant neoplasm of the colon. [/INST] | SELECT DISTINCT T1.DESCRIPTION FROM careplans AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Secondary malignant neoplasm of colon'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: What is the prevalence rate of the patients' diseases started on 9th May 2014? [/INST] | SELECT T2."PREVALENCE RATE" FROM conditions AS T1 INNER JOIN all_prevalences AS T2 ON lower(T1.DESCRIPTION) = lower(T2.ITEM) WHERE T1.START = '2014-05-09'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: Among observations in 2011, provide the names and ages of patients whose Systolic Blood Pressures are 200mmHg. [/INST] | SELECT T2.first, T2.last , CASE WHEN T2.deathdate IS NULL THEN strftime('%Y', T1.DATE) - strftime('%Y', T2.birthdate) ELSE strftime('%Y', T2.deathdate) - strftime('%Y', T2.birthdate) END AS age FROM observations AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Systolic Blood Pressure' AND T1.VALUE = 200 AND T1.UNITS = 'mmHg' AND strftime('%Y', T1.DATE) = '2011'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: Among the immunizations in 2017, calculate the percentage of patients who received the Influenza seasonal injectable preservative free. Among them, how many patients are English? [/INST] | SELECT CAST(SUM(CASE WHEN T2.DESCRIPTION = 'Influenza seasonal injectable preservative free' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.patient), SUM(CASE WHEN T1.ethnicity = 'english' THEN 1 ELSE 0 END) FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE strftime('%Y', T2.DATE) = '2017'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: List down the first name of patients who encountered normal pregnancy. [/INST] | SELECT DISTINCT T1.first FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T2.REASONDESCRIPTION = 'Normal pregnancy'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: What are the birth date of patients who took outpatient encounter care plan? [/INST] | SELECT DISTINCT T1.birthdate FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Outpatient Encounter'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: List down the first name of patients who have cystitis condition. [/INST] | SELECT DISTINCT T1.first FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Cystitis'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: How many stroke patients have married? [/INST] | SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Stroke' AND T1.marital = 'M'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: List down the address of patients who have billable period in 2010. [/INST] | SELECT DISTINCT T1.address FROM patients AS T1 INNER JOIN claims AS T2 ON T1.patient = T2.PATIENT WHERE T2.BILLABLEPERIOD LIKE '2010%'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: List down the last name of patients who are allergic to dairy products. [/INST] | SELECT DISTINCT T1.last FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Allergy to dairy product'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: When the allergy starts for Angelo Buckridge. [/INST] | SELECT T2.START FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Adolfo' AND T1.last = 'Schmitt' AND T2.STOP IS NOT NULL; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: How many of the male patients are allergic to house dust mites? [/INST] | SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'House dust mite allergy' AND T1.gender = 'M'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: What kind of allergy is most common among white people? [/INST] | SELECT T2.DESCRIPTION FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T1.race = 'white' GROUP BY T2.DESCRIPTION ORDER BY COUNT(T2.DESCRIPTION) DESC LIMIT 1; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: List down the first name of patients who received "Influenza seasonal injectable preservative free" immunization. [/INST] | SELECT DISTINCT T1.first, T1.last FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Influenza seasonal injectable preservative free'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: Calculate the number of female patients who accepted "HPV quadrivalent" immunization. [/INST] | SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'HPV quadrivalent' AND T1.gender = 'F'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: List down the encounter descriptions of patients who were born in Pittsfield MA US. [/INST] | SELECT DISTINCT T2.DESCRIPTION FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T1.birthplace = 'Pittsfield MA US'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: Calculate the total type of allergies for German people. [/INST] | SELECT COUNT(DISTINCT T2.DESCRIPTION) FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T1.ethnicity = 'german'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: Calculate the average age of patients with prediabetes care plan. [/INST] | SELECT CAST(SUM(CASE WHEN T1.deathdate IS NULL THEN strftime('%Y', T2.STOP) - strftime('%Y', T1.birthdate) ELSE strftime('%Y', T1.deathdate) - strftime('%Y', T1.birthdate) END) AS REAL) / COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN careplans AS T2 ON T1.patient = T2.PATIENT WHERE T2.REASONDESCRIPTION = 'Prediabetes'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: How many of the patients who have stopped taking medication for 'coronary heart disease' are still alive? [/INST] | SELECT COUNT(DISTINCT T2.patient) FROM medications AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.REASONDESCRIPTION = 'Coronary Heart Disease' AND T1.STOP IS NOT NULL AND T2.deathdate IS NULL; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: How many of the patients who underwent a 'bone immobilization' procedure have a driver's license? [/INST] | SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN procedures AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Bone immobilization' AND T1.drivers IS NOT NULL; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: Indicate the full name of the patients who have 3 different allergies. [/INST] | SELECT T1.first, T1.last FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT GROUP BY T1.patient ORDER BY COUNT(DISTINCT T2.DESCRIPTION) > 3; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: How many patients with 'allergy to eggs' have been immunized with 'Td (adult) preservative free'? [/INST] | SELECT COUNT(DISTINCT T2.patient) FROM allergies AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient INNER JOIN immunizations AS T3 ON T2.patient = T3.PATIENT WHERE T1.DESCRIPTION = 'Allergy to eggs' AND T3.DESCRIPTION = 'Td (adult) preservative free'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: How many patients with a body weight of more than 100 kg have a 'diabetes self-management plan' care plan? [/INST] | SELECT COUNT(DISTINCT T2.patient) FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient INNER JOIN observations AS T3 ON T2.patient = T3.PATIENT WHERE T3.DESCRIPTION = 'Body Weight' AND T1.DESCRIPTION = 'Diabetes self management plan' AND T3.VALUE > 100 AND T3.UNITS = 'kg'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: What gender is more prone to 'dander (animal) allergy'? [/INST] | SELECT T1.gender FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Dander (animal) allergy' GROUP BY T1.gender ORDER BY COUNT(T1.gender) DESC LIMIT 1; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: On what dates did the billable period begin for patients with the last name Dickinson? [/INST] | SELECT DISTINCT T2.BILLABLEPERIOD FROM patients AS T1 INNER JOIN claims AS T2 ON T1.patient = T2.PATIENT WHERE T1.last = 'Dickinson'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: List the full name of all patients with 'otitis media'. [/INST] | SELECT DISTINCT T1.first, T1.last FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Otitis media'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: How many patients of Irish ethnicity take medication for 'myocardial infarction'? [/INST] | SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T2.REASONDESCRIPTION = 'Myocardial Infarction' AND T1.ethnicity = 'irish'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: How many patients with care plan for 'concussion with loss of consciousness' are married? [/INST] | SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN careplans AS T2 ON T1.patient = T2.PATIENT WHERE T1.marital = 'M' AND T2.REASONDESCRIPTION = 'Concussion with loss of consciousness'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: How many patients immunized against 'monovalent rotavirus' ceased their care plan on 11/23/2013? [/INST] | SELECT COUNT(DISTINCT T1.patient) FROM careplans AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'rotavirus monovalent' AND T1.STOP = '2013-11-23'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: How many women need to take 'Nitroglycerin 0.4 MG/ACTUAT [Nitrolingual]'? [/INST] | SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Nitroglycerin 0.4 MG/ACTUAT [Nitrolingual]' AND T1.gender = 'F'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: What percentage of patients born in 'Pembroke MA US' have 'allergy to grass pollen'? [/INST] | SELECT CAST(SUM(CASE WHEN T2.DESCRIPTION = 'Allergy to grass pollen' THEN 1 ELSE 0 END) AS REL) * 100 / COUNT(T1.patient) FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T1.birthplace = 'Pembroke MA US'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: What is the average body weight of Asian patients? [/INST] | SELECT SUM(T2.VALUE) / COUNT(T1.patient) FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T1.race = 'asian' AND T2.DESCRIPTION = 'Body Weight' AND T2.UNITS = 'kg'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: Write down the Social Security numbers of patients who have latex allergies. [/INST] | SELECT T1.ssn FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Latex allergy'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: How long did Isadora Moen's allergy last? Tell me what kind of allergy she has. [/INST] | SELECT CASE WHEN SUBSTR(T1.STOP, -2, 1) != '9' THEN SUBSTR(T1.STOP, LENGTH(T1.STOP) - 1) + 2000 END - CASE WHEN SUBSTR(T1.START, -2, 1) = '9' THEN SUBSTR(T1.START, LENGTH(T1.START) - 1) + 1900 ELSE SUBSTR(T1.START, LENGTH(T1.START) - 1) + 2000 END AS years , T1.DESCRIPTION FROM allergies AS T1 INNER JOIN patients AS T2 ON T2.patient = T1.PATIENT WHERE T1.STOP IS NOT NULL AND T1.START IS NOT NULL AND T2.first = 'Isadora' AND T2.last = 'Moen'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: How many times was Elly Koss given a care plan between 1/11/2009 and 10/23/2010? [/INST] | SELECT COUNT(T2.PATIENT) FROM patients AS T1 INNER JOIN careplans AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.START BETWEEN '2009-01-11' AND '2010-10-23'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: In 2009, who among the married patients had undergone a care plan for more than 60 days? [/INST] | SELECT DISTINCT T1.first, T1.last FROM patients AS T1 INNER JOIN careplans AS T2 ON T1.patient = T2.PATIENT WHERE T1.marital = 'M' AND strftime('%J', T2.STOP) - strftime('%J', T2.START) > 60; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: Please provide the dates on which Elly Koss was immunized with the influenza seasonal injectable preservative-free vaccine. [/INST] | SELECT T2.DATE FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Influenza seasonal injectable preservative free' AND T1.first = 'Elly' AND T1.last = 'Koss'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: From 7/9/2010 to 10/29/2013, how many black patients were immunized with the meningococcal MCV4P vaccine? [/INST] | SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'meningococcal MCV4P' AND T2.DATE BETWEEN '2010-07-09' AND '2013-10-29' AND T1.race = 'black'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: Give me the immunization codes and dates on which Ms. Jacquelyn Shanahan was immunized with influenza seasonal injectable preservative-free vaccine. [/INST] | SELECT DISTINCT T2.CODE, T2.DATE FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Ms.' AND T1.first = 'Jacquelyn' AND T1.last = 'Shanahan' AND T2.DESCRIPTION = 'Influenza seasonal injectable preservative free'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: How long did Berry Keebler take the Acetaminophen 160 MG when he was admitted due to acute bronchitis? [/INST] | SELECT strftime('%J', T2.STOP) - strftime('%J', T2.START) AS takenDays FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Berry' AND T1.last = 'Keebler' AND T2.REASONDESCRIPTION = 'Acute bronchitis (disorder)' AND T2.DESCRIPTION = 'Acetaminophen 160 MG'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: In 2010, how many single patients took Nitrofurantoin 5 mg/ML [Furadantin] to cure cystitis? [/INST] | SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T1.marital = 'S' AND T2.REASONDESCRIPTION = 'Cystitis' AND T2.DESCRIPTION = 'Nitrofurantoin 5 MG/ML [Furadantin]' AND strftime('%Y', T2.START) = '2010'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: Tell me the reason for Lavelle Vandervort's encounter on 11/20/2013? [/INST] | SELECT T2.REASONDESCRIPTION FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T2.DATE = '2013-11-20' AND T1.first = 'Lavelle' AND T1.last = 'Vandervort'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: From 1/9/2011 to 8/29/2012, how many German patients have their outpatient encounters? [/INST] | SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T1.ethnicity = 'german' AND T2.DATE BETWEEN '2011-01-09' AND '2012-08-29' AND T2.DESCRIPTION = 'Outpatient Encounter'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: What is the social security number and address of the patient who encountered viral sinusitis symptoms on 6/13/2008? [/INST] | SELECT T1.ssn, T1.address FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T2.DATE = '2008-06-13' AND T2.REASONDESCRIPTION = 'Viral sinusitis (disorder)' AND T2.DESCRIPTION = 'Encounter for symptom'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: Give me the reason, name of the drug, and duration of medication under encounter ID 23c293ec-dbae-4a22-896e-f12cf3c8bac3. Tell me if the patient is still alive. [/INST] | SELECT T2.REASONDESCRIPTION, T2.DESCRIPTION , strftime('%J', T2.STOP) - strftime('%J', T2.START) AS days , CASE WHEN T1.deathdate IS NULL THEN 'alive' ELSE 'dead' END FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T2.ENCOUNTER = '23c293ec-dbae-4a22-896e-f12cf3c8bac3'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: How many patients with shellfish allergies died when they were under 12 years old? Please give their full names. [/INST] | SELECT T1.first, T1.last FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Shellfish allergy' AND CAST((strftime('%J', T1.deathdate) - strftime('%J', T1.birthdate)) AS REAL) / 365 < 12; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: How long was Mr. Major D'Amore prescribed with Amoxicillin 250 MG / Clavulanate 125 MG [Augmentin]? [/INST] | SELECT strftime('%J', T2.STOP) - strftime('%J', T2.START) AS days FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = ' Amoxicillin 250 MG / Clavulanate 125 MG [Augmentin]' AND T1.first = 'Major' AND T1.last = 'D''Amore'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: How many types of medication have been prescribed to Mr. Major D'Amore since his visit to the hospital? [/INST] | SELECT COUNT(DISTINCT T2.DESCRIPTION) FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Major' AND T1.last = 'D''Amore'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: List out all the observation information collected for the patient named Bella Rolfson. [/INST] | SELECT DISTINCT T2.DESCRIPTION, T2.VALUE, T2.UNITS FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Bella' AND T1.last = 'Rolfson'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: List out patient names with calcium deficiency. [/INST] | SELECT DISTINCT T1.first, T1.last FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Calcium' AND T2.VALUE < 8.6; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: List out 5 most common conditions for underweight patient. [/INST] | SELECT DISTINCT T2.DESCRIPTION, T2.VALUE, T2.UNITS FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Body Mass Index' GROUP BY T2.VALUE ORDER BY COUNT(T2.VALUE) LIMIT 5; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: How many mothers have taken immunization during prenatal visit? [/INST] | SELECT COUNT(DISTINCT T2.PATIENT) FROM encounters AS T1 INNER JOIN immunizations AS T2 ON T1.PATIENT = T2.PATIENT WHERE T1.REASONDESCRIPTION = 'Normal pregnancy' AND T1.DATE = T2.DATE; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: What care plans have been received by Mrs. Elly Koss during year 1970? [/INST] | SELECT T2.DESCRIPTION FROM patients AS T1 INNER JOIN careplans AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND strftime('%Y', T2.START) = '2013'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: What is the care plan, procedure, medication and the patient's full name for encounter 6f2e3935-b203-493e-a9c0-f23e847b9798? [/INST] | SELECT DISTINCT T3.DESCRIPTION, T4.DESCRIPTION, T5.DESCRIPTION, T1.first, T1.last FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT INNER JOIN careplans AS T3 ON T1.patient = T3.PATIENT INNER JOIN procedures AS T4 ON T1.patient = T4.PATIENT INNER JOIN medications AS T5 ON T1.patient = T5.PATIENT WHERE T2.ID = '6f2e3935-b203-493e-a9c0-f23e847b9798'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: How many male patients are diagnosed with hypertension as compared to female patients? [/INST] | SELECT COUNT(DISTINCT CASE WHEN T2.gender = 'M' THEN T2.patient END) AS Male , COUNT(DISTINCT CASE WHEN T2.gender = 'F' THEN T2.patient END) AS Female FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Hypertension'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: How many unmarried women were checked for normal pregnancy? [/INST] | SELECT COUNT(DISTINCT T2.patient) FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Normal pregnancy' AND T2.gender = 'F' AND T2.marital = 'S'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: List out the procedure and medicine prescribed for drug overdose patients. [/INST] | SELECT DISTINCT T2.DESCRIPTION, T3.DESCRIPTION FROM encounters AS T1 INNER JOIN procedures AS T2 ON T1.PATIENT = T2.PATIENT INNER JOIN medications AS T3 ON T1.PATIENT = T3.PATIENT WHERE T1.REASONDESCRIPTION = 'Drug overdose'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: What is the average body mass index for patients with higher total cholesterol? [/INST] | SELECT SUM(T1.VALUE) / COUNT(T1.PATIENT) FROM observations AS T1 INNER JOIN ( SELECT DISTINCT PATIENT FROM observations WHERE DESCRIPTION = 'Total Cholesterol' AND VALUE > 200 ) AS T2 ON T1.PATIENT = T2.PATIENT WHERE T1.DESCRIPTION = 'Body Mass Index'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: What is the difference between average glucose reading for patients in the 20s and 50s? [/INST] | SELECT SUM(CASE WHEN ROUND((strftime('%J', T2.DATE) - strftime('%J', T1.birthdate)) / 365) BETWEEN 20 AND 30 THEN T2.VALUE ELSE 0 END) / COUNT(CASE WHEN ROUND((strftime('%J', T2.DATE) - strftime('%J', T1.birthdate)) / 365) BETWEEN 20 AND 30 THEN T2.PATIENT END) - SUM(CASE WHEN ROUND((strftime('%J', T2.DATE) - strftime('%J', T1.birthdate)) / 365) BETWEEN 50 AND 60 THEN T2.VALUE ELSE 0 END) / COUNT(CASE WHEN ROUND((strftime('%J', T2.DATE) - strftime('%J', T1.birthdate)) / 365) BETWEEN 50 AND 60 THEN T2.PATIENT END) AS difference FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Glucose'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: What is the percentage of the most common conditions for patients age 60 and above? [/INST] | SELECT CAST(SUM(CASE WHEN T5.DESCRIPTION = T3.DESCRIPTION THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T3.patient) FROM ( SELECT T2.DESCRIPTION, T1.patient FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE ROUND((strftime('%J', T2.START) - strftime('%J', T1.birthdate)) / 365) > 60 GROUP BY T2.DESCRIPTION ORDER BY COUNT(T2.DESCRIPTION) DESC LIMIT 1 ) AS T3 INNER JOIN patients AS T4 ON T3.patient = T4.patient INNER JOIN conditions AS T5 ON T4.patient = T5.PATIENT WHERE ROUND((strftime('%J', T5.START) - strftime('%J', T4.birthdate)) / 365) > 60; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: Name the reason Walter Bahringer visited medical professionals in July 2009. [/INST] | SELECT T2.REASONDESCRIPTION FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Walter' AND T1.last = 'Bahringer' AND T2.DATE LIKE '2009-07%'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: How old was Mr. Stacy Morar at the time of his first emergency room admission due to a drug overdose? [/INST] | SELECT T2.DATE - T1.birthdate AS age FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Stacy' AND T1.last = 'Morar' AND T2.DESCRIPTION = 'Emergency Room Admission' AND T2.REASONDESCRIPTION = 'Drug overdose' ORDER BY T2.DATE LIMIT 1; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: What drug is administered more often to treat child attention deficit disorder? [/INST] | SELECT DESCRIPTION FROM medications WHERE REASONDESCRIPTION = 'Child attention deficit disorder' GROUP BY DESCRIPTION ORDER BY COUNT(DESCRIPTION) DESC LIMIT 1; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: Please include the full name of the patient who received a lung transplant. [/INST] | SELECT T2.first, T2.last FROM procedures AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Transplant of lung (procedure)'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: How many patients on average receive combined chemotherapy and radiation therapy procedures each year? [/INST] | SELECT CAST(COUNT(PATIENT) AS REAL) / COUNT(DISTINCT strftime('%Y', DATE)) FROM procedures WHERE DESCRIPTION = 'Combined chemotherapy and radiation therapy (procedure)'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: Indicate the time frame and details of the most recent care plan suggested to Jacquelyn Shanahan. [/INST] | SELECT strftime('%J', T2.STOP) - strftime('%J', T2.START) AS timeFrame , T2.DESCRIPTION FROM patients AS T1 INNER JOIN careplans AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Jacquelyn' AND T1.last = 'Shanahan' ORDER BY T2.START DESC LIMIT 1; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: Identify the allergy period for Isadora Moen and what triggered it. [/INST] | SELECT T2.START, T2.STOP, T2.DESCRIPTION FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Isadora' AND T1.last = 'Moen'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: How old was Mrs. Laronda Bernier at the time of her most recent medical encounter? [/INST] | SELECT T2.DATE - T1.birthdate AS age FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Laronda' AND T1.last = 'Bernier' ORDER BY T2.DATE DESC LIMIT 1; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: What condition forced Mrs. Joye Homenick to seek medical attention in 2017? [/INST] | SELECT T2.DESCRIPTION FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Joye' AND T1.last = 'Homenick' AND strftime('%Y', T2.START) = '2017'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: When did Mrs. Joye Homenick receive her most recent influenza seasonal vaccine? [/INST] | SELECT T2.DATE FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Influenza seasonal injectable preservative free' AND T1.first = 'Joye' AND T1.last = 'Homenick' ORDER BY T2.DATE DESC LIMIT 1; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: How long did Elly Koss have to take Acetaminophen 160 MG? [/INST] | SELECT strftime('%J', T2.STOP) - strftime('%J', T2.START) AS days FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND last = 'Koss' AND T2.DESCRIPTION = 'Acetaminophen 160 MG'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]
passport [ TEXT ]
prefix [ TEXT ]
first [ TEXT ]
last [ TEXT ]
suffix [ TEXT ]
maiden [ TEXT ]
marital [ TEXT ]
race [ TEXT ]
ethnicity [ TEXT ]
gender [ TEXT ]
birthplace [ TEXT ]
address [ TEXT ]
encounters :
ID [ TEXT ] primary_key
DATE [ DATE ]
PATIENT [ TEXT ] encounters.PATIENT = patients.patient
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
allergies :
START [ TEXT ]
STOP [ TEXT ]
PATIENT [ TEXT ] allergies.PATIENT = patients.patient
ENCOUNTER [ TEXT ] allergies.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
careplans :
ID [ TEXT ]
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] careplans.PATIENT = patients.patient
ENCOUNTER [ TEXT ] careplans.ENCOUNTER = encounters.ID
CODE [ REAL ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
conditions :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] conditions.PATIENT = patients.patient
ENCOUNTER [ TEXT ] conditions.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ] conditions.DESCRIPTION = all_prevalences.ITEM
immunizations :
DATE [ DATE ]
PATIENT [ TEXT ] immunizations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] immunizations.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
medications :
START [ DATE ]
STOP [ DATE ]
PATIENT [ TEXT ] medications.PATIENT = patients.patient
ENCOUNTER [ TEXT ] medications.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
observations :
DATE [ DATE ]
PATIENT [ TEXT ] observations.PATIENT = patients.patient
ENCOUNTER [ TEXT ] observations.ENCOUNTER = encounters.ID
CODE [ TEXT ]
DESCRIPTION [ TEXT ]
VALUE [ REAL ]
UNITS [ TEXT ]
procedures :
DATE [ DATE ]
PATIENT [ TEXT ] procedures.PATIENT = patients.patient
ENCOUNTER [ TEXT ] procedures.ENCOUNTER = encounters.ID
CODE [ INTEGER ]
DESCRIPTION [ TEXT ]
REASONCODE [ INTEGER ]
REASONDESCRIPTION [ TEXT ]
claims :
ID [ TEXT ] primary_key
PATIENT [ TEXT ]
BILLABLEPERIOD [ DATE ]
ORGANIZATION [ TEXT ]
ENCOUNTER [ TEXT ]
DIAGNOSIS [ TEXT ]
TOTAL [ INTEGER ]
Please write me a SQL statement that answers the following question: How many patients sought medical attention due to a second-degree burn? Describe the care plan recommended to them. [/INST] | SELECT COUNT(DISTINCT T2.PATIENT), T2.DESCRIPTION FROM encounters AS T1 INNER JOIN careplans AS T2 ON T1.PATIENT = T2.PATIENT WHERE T2.REASONDESCRIPTION = 'Second degree burn'; |
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