There is a critical need to build the FHIR-based data access and query on existing relational data sources to facilitate standards-based semantic data integration, sharing and discovery in broader scientific research communities. The objective of the study is to develop an FHIR-based data access framework to enable answering semantic queries over the OHDSI CDM-based data repositories. We leveraged the FHIR ontology to create mappings and SPARQL templates to identify patient cohorts and demonstrated the feasibility of our approach.

Learning Objective 1: Attendees will learn how an FHIR Ontology is used to access data in an OHDSI data repository and answer semantic queries.


Guoqian Jiang (Presenter)
Mayo Clinic

Guohui Xiao, Free University of Bozen-Bolzano
Richard Kiefer, Mayo Clinic
Eric Prud’hommeaux, MIT/W3C
Harold Solbrig, Mayo Clinic

Presentation Materials: