{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T01:59:38Z","timestamp":1772243978310,"version":"3.50.1"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"abstract":"<jats:p>A variety of data models have been developed to provide a standardized data interface that supports organizing clinical research data into a standard structure for building the integrated data repositories. HL7 Fast Healthcare Interoperability Resources (FHIR) is emerging as a next generation standards framework for facilitating health care and electronic health records-based data exchange. The objective of the study was to design and assess a consensus-based approach for harmonizing the OHDSI CDM with HL7 FHIR. We leverage a FHIR W5 (Who, What, When, Where, and Why) Classification System for designing the harmonization approaches and assess their utility in achieving the consensus among curators using a standard inter-rater agreement measure. Moderate agreement was achieved for the model-level harmonization (kappa = 0.50) whereas only fair agreement was achieved for the property-level harmonization (kappa = 0.21). FHIR W5 is a useful tool in designing the harmonization approaches between data models and FHIR, and facilitating the consensus achievement.<\/jats:p>","DOI":"10.3233\/978-1-61499-830-3-887","type":"book-chapter","created":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T12:46:46Z","timestamp":1740142006000},"source":"Crossref","is-referenced-by-count":0,"title":["A Consensus-Based Approach for Harmonizing the OHDSI Common Data Model with HL7 FHIR"],"prefix":"10.3233","author":[{"family":"Jiang Guoqian","sequence":"additional","affiliation":[]},{"family":"Kiefer Richard C.","sequence":"additional","affiliation":[]},{"family":"Sharma Deepak K.","sequence":"additional","affiliation":[]},{"family":"Prud'hommeaux Eric","sequence":"additional","affiliation":[]},{"family":"Solbrig Harold R.","sequence":"additional","affiliation":[]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","MEDINFO 2017: Precision Healthcare through Informatics"],"original-title":[],"deposited":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T12:53:42Z","timestamp":1740142422000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISBN&isbn=978-1-61499-829-7&spage=887&doi=10.3233\/978-1-61499-830-3-887"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-61499-830-3-887","relation":{"is-cited-by":[{"id-type":"doi","id":"10.3389\/fmed.2021.669509","asserted-by":"object"}]},"ISSN":["0926-9630"],"issn-type":[{"value":"0926-9630","type":"print"}],"subject":[],"published":{"date-parts":[[2017]]}}}