Boston Children's Hospital, Computational Health Informatics Program
SMART Health IT is an open standards project, including the SMART on FHIR API so app developers can run their software seamlessly and securely across the healthcare system. The SMART sandbox mimics a live EHR production environment, but is populated with sample data, for testing and demonstrating apps The SMART App Gallery freely lists and demonstrates SMART and FHIR apps. SMART also includes the CDS Hooks decision support standard, and the FLAT FHIR population health/bulk data export API.
Organization Contact
Ken Mandl
contact@smarthealthit.org
SMART Sandbox and Sample Data
The SMART Health IT Sandbox is a virtual testing environment that mimics a live EHR production environment, but is populated with sample data. It is provided by the SMART Health IT project as a free service to the healthcare app development community and is for testing purposes only.
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The SMART team maintains 2 FHIR servers, DSTU2 and STU3, populated with synthetic sample patient data. Data Summary:
The sandbox's open DSTU2 FHIR server is accessible directly at https://r2.smarthealthit.org/
Core SMART Patients:
67 DSTU2 Core SMART Patients were created using the SMART Patient Data Generator. This tool creates sample patients in DSTU2 format from csv data files. The SMART sample patient records contain a mix of data derived from real de-identified patient records, as well as some synthetic data elements.
Resources include: AllergyIntolerance, Binary, Condition, DocumentReference, Encounter, FamilyMemberHistory, Immunization, MedicationDispense, MedicationRequest, Observation, Patient, and Procedure
Synthea Synthetic Patients:
The SMART Team generated 1461 Synthetic sample patients in FHIR DSTU2 format using the MITRE Synthea tool. For each synthetic patient, Synthea data contains a complete medical history, including medications, allergies, medical encounters, and social determinants of health.
The sandbox's open STU3 FHIR server is accessible directly at https://r3.smarthealthit.org/
Core SMART Patients:
The 67 STU3 Core SMART Patients were developed using an improved version of the csv data files used to create the DSTU2 Core SMART Patients. The new STU3 SMART Patient Data Generator (Code) created these sample patients from data files containing a mix of de-identified clinical data and synthetic data elements.
Improvements on the DSTU2 resources: Minor data cleanup, and addition of 7 practitioner resources.
Synthea Synthetic Patients:
The SMART Team generated 1461 Synthetic sample patients in FHIR STU3 format using the MITRE Synthea tool. For each synthetic patient, Synthea data contains a complete medical history, including medications, allergies, medical encounters, and social determinants of health.
Patient Reported Outcome (PRO) Data:
The SMART Team generated 100 Sample patients using PRO data available online from the UK National Health Service. The data measures health gain in patients undergoing hip replacement, knee replacement, varicose vein and groin hernia surgery in England, based on responses to questionnaires before and after surgery.
The Sample Patients that SMART generated (code) contain a mixture of real and synthetic data elements, based on the data available in the PROMs csv data package.
All Questionnaire Response resources contain real pre and post-operative patient survey data.
The sandbox's open DSTU2 FHIR server is accessible directly at https://r2.smarthealthit.org/
Core SMART Patients:
67 DSTU2 Core SMART Patients were created using the SMART Patient Data Generator. This tool creates sample patients in DSTU2 format from csv data files. The SMART sample patient records contain a mix of data derived from real de-identified patient records, as well as some synthetic data elements.
Resources include: AllergyIntolerance, Binary, Condition, DocumentReference, Encounter, FamilyMemberHistory, Immunization, MedicationDispense, MedicationRequest, Observation, Patient, and Procedure
Synthea Synthetic Patients:
The SMART Team generated 1461 Synthetic sample patients in FHIR DSTU2 format using the MITRE Synthea tool. For each synthetic patient, Synthea data contains a complete medical history, including medications, allergies, medical encounters, and social determinants of health.
The sandbox's open STU3 FHIR server is accessible directly at https://r3.smarthealthit.org/
Core SMART Patients:
The 67 STU3 Core SMART Patients were developed using an improved version of the csv data files used to create the DSTU2 Core SMART Patients. The new STU3 SMART Patient Data Generator (Code) created these sample patients from data files containing a mix of de-identified clinical data and synthetic data elements.
Improvements on the DSTU2 resources: Minor data cleanup, and addition of 7 practitioner resources.
Synthea Synthetic Patients:
The SMART Team generated 1461 Synthetic sample patients in FHIR STU3 format using the MITRE Synthea tool. For each synthetic patient, Synthea data contains a complete medical history, including medications, allergies, medical encounters, and social determinants of health.
Patient Reported Outcome (PRO) Data:
The SMART Team generated 100 Sample patients using PRO data available online from the UK National Health Service. The data measures health gain in patients undergoing hip replacement, knee replacement, varicose vein and groin hernia surgery in England, based on responses to questionnaires before and after surgery.
The Sample Patients that SMART generated (code) contain a mixture of real and synthetic data elements, based on the data available in the PROMs csv data package.
All Questionnaire Response resources contain real pre and post-operative patient survey data.
Steps Required to Obtain Data
You can access the sandbox at https://launch.smarthealthit.org to launch SMART apps. No registration is required.
On average, how long does it take to access the data?
1 minute
Category
Clinical
Patient Generated
Originating Data Source
Other
Synthetic Sample Data
Intended End User
Academia
General Public
Data Type
Raw
Aggregate/Analysis
Data Format
FHIR
Additional Processing Required
No
Is the data identifiable?
No
Real or Synthetic Data
Synthetic
Data is Updated
Annually
Free of Charge?
Yes