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Chapitre D'ouvrage Année : 2022

Translating the Observational Medical Outcomes Partnership – Common Data Model (OMOP-CDM) Electronic Health Records to an OWL Ontology

Résumé

The heterogeneity of electronic health records model is a major problem: it is necessary to gather data from various models for clinical research, but also for clinical decision support. The Observational Medical Outcomes Partnership – Common Data Model (OMOP-CDM) has emerged as a standard model for structuring health records populated from various other sources. This model is proposed as a relational database schema. However, in the field of decision support, formal ontologies are commonly used. In this paper, we propose a translation of OMOP-CDM into an ontology, and we explore the utility of the semantic web for structuring EHR in a clinical decision support perspective, and the use of the SPARQL language for querying health records. The resulting ontology is available online.

Dates et versions

hal-03738953 , version 1 (26-07-2022)

Identifiants

Citer

Jean-Baptiste Lamy, Abdelmalek Mouazer, Karima Sedki, Rosy Tsopra. Translating the Observational Medical Outcomes Partnership – Common Data Model (OMOP-CDM) Electronic Health Records to an OWL Ontology. MEDINFO 2021: One World, One Health – Global Partnership for Digital Innovation, 290, IOS Press, pp.76-80, 2022, Studies in Health Technology and Informatics, ⟨10.3233/SHTI220035⟩. ⟨hal-03738953⟩
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