OPMI: The ontology of precision medicine and investigation and its support for clinical data and metadata representation and analysis

Conference Paper

Consortia conducting precision medicine studies face a major challenge of integrating big data including clinical and biomedical data. In this study, we report our development of the community-driven Ontology of Precision Medicine and Investigation (OPMI) and its applications in clinical data and metadata representation. OPMI has been used to represent the common data model (CDM) of the Observational Health Data Sciences and Informatics (or OHDSI) program. It has also been used to represent approximately 30 case report forms defined by the NIH-supported Kidney Precision Medicine Project (KPMP). Our case studies showed that OPMI is able to semantically and precisely represent the OHDSI CDM, various KPMP clinical forms, and their associated data and metadata. Such ontological representations support standardized data representation, sharing, recording, integration, and advanced analysis.

Duke Authors

Cited Authors

  • He, Y; Ong, E; Schaub, J; Dowd, F; O'Toole, JF; Siapos, A; Reich, C; Seager, S; Wan, L; Yu, H; Zheng, J; Stoeckert, C; Yang, X; Yang, S; Steck, B; Park, C; Barisoni, L; Kretzler, M; Himmelfarb, J; Iyengar, R; Mooney, SD

Published Date

  • January 1, 2019

Published In

Volume / Issue

  • 2931 /

International Standard Serial Number (ISSN)

  • 1613-0073

Citation Source

  • Scopus