Enabling the Semantics of FHIR and Terminologies for Clinical and Translational Research
Overview
HL7 Fast Healthcare Interoperability Resources (FHIR) is an emerging next generation standard framework for the exchange of electronic health record (EHR) data. The FHIR specification defines a common vocabulary and mechanism for sharing EHR data independent of how it is actually stored. All of the major EHR vendors are developing standardized FHIR interfaces to their clinical data. The objective of this project is to design, develop and evaluate a novel informatics platform known as FHIRCat that leverages Semantic Web technologies, FHIR models/profiles, and ontologies for effective standards-based data integration and distributed analytics, enabling high-quality reproducible clinical and translational research.
RENCI’s Role
Emily Pfaff (NC TraCS) is the UNC PI. The project is led by Guoquian Jiang of the Mayo Clinic. Jim Balhoff and Gaurav Vaidya contribute expertise in semantic web technologies and biomedical ontologies to the FHIR RDF working group.
Project Team
- Emily Pfaff (NC TraCS) – UNC PI
- Guoquian Jiang (Mayo Clinic) – Project Lead
- Jim Balhoff
- Guarav Vaidya
Funding
- NIH/NIBIB
