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