The FHIR Project at Georgia Tech
GT-FHIR server is a Georgia Tech Fast Healthcare Interoperability Resources (FHIR) project to build a FHIR resource on Observational Medical Outcomes Partnership (OMOP) common data model (CDM). It is built on top of Hapi Fhir reference implementation. Currently the objects model is built in conformance to Fhir spec STU3.
The key component of GT-FHIR is a data access layer that has been modified to support any database schema. The component allows OMOP CDM to be deployed as a backend database. FHIR resources from/to OMOP CDM mapping is done at the gt-fhir-entities. However, as FHIR and OMOP CDM cannot be mapped one-to-one, some of data elements are set statically. Some mappings require multiple FHIR entity-jpa classes to support bidirectional mappings.
We are constantly working on mapping new concepts and adding to new features. Pull requests are welcome! For more details on source codes, visit GT-FHIR Project Github.
Current GT-FHIR Version
Snapshot of GT-FHIR2: There is a public GT-FHIR2 site that shows the latest snapshot. This runs with HAPI-FHIR’s UI Test site running over Synpuff data source in OMOP v5. GT-FHIR2 Snapshot Server
SMART on FHIR: GT-FHIR is also equipped to support SMART on FHIR. GT-FHIR talks to Authorization server in SMART-on-FHIR Reference Implementation for launch ID resolution. You will need to install this reference implementation of SMART on FHIR and use the Authorization server part with GT-FHIR. The SMART on FHIR support has not yet been transferred to GT-FHIR2 from GT-FHIR. This will be done shortly.
[Deployment scripts] GT-FHIR2 includes docker composer, which helps deploying the server in the docker container.
FHIR and Lead
DevOp and Deployment Support
- Duke University
- Emory University School of Medicine
- Medical University in South Carolina
- M. Choi, R. Starr, M. Braunstein, and J. Duke, “OHDSI on FHIR Platform Development with OMOP CDM mapping to FHIR Resources,” ODHSI 2016
- H. Su, A. Henderson, M. Choi, R. Starr, and J. Sun, “Clinical Predictive Modeling Development and Deployment with OMOP CDM and FHIR,” ODHSI 2015
- K. Mohammed, M. Choi, A. Henderson, S. Iyengar, M. Braunstein, and J. Sun, “Clinical Predictive Modeling Development and Deployment through FHIR Web Services,” AMIA 2015 r