Session Report on Data Model and Implementation Guidelines for FHIR and OMOP

Details

The session, titled 'Data model and implementation guidelines FHIR and OMOP,' featured Roberta Gazzarata, an In-house Consultant for HL7 Europe, and Unai Zulaika, a Research Associate at the University of Deusto. Gazzarata shared her expertise, which spans since 2012 in the adoption and profiling of semantic and format standards within medical informatics, evidenced by her roles with HL7 Italia and HL7 Europe. Zulaika specializes in research applying AI to healthcare, focusing on developing data models and Natural Language Processing algorithms. His work is involved in projects like IDEA4RC, emphasizing technical aspects such as Knowledge Graph interpretability and structured utilization of medical data. The session provided an in-depth look at building practical data models and implementation guidelines by combining two major healthcare standards: FHIR and OMOP. This demonstrates a concrete approach to integrating different standards for structuring and utilizing data in international health information systems, holding high relevance for ensuring interoperability in Japan's healthcare IT sector.