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Abstract #3654

Development of a management system for radiology–common data model (R-CDM) and its application in the liver disease: extension of OMOP-CDM

Min-Gi Pak1, Seong-Min Han2, ChungSub Lee3, SeungJin Kim1, Tae-Hoon Kim3, Chang-Won Jeong3, and Kwon-Ha Yoon3,4
1Medical Science, Wonkwang University, Iksan, Republic of Korea, 2Computer Software Engineering, Wonkwang University, Iksan, Republic of Korea, 3Medical Convergence Research Center, Wonkwang University, Iksan, Republic of Korea, 4Radiology, Wonkwang University, Iksan, Republic of Korea

The Observational Medical Outcomes Partnership-Common Data Model (OMOP-CDM) used in distributed research networks has low coverage of clinical data and does not reflect the latest trends of precision medicine. Radiology data have great merits to visual and identify the lesions in specific diseases. However, radiology data should be shared to obtain the sufficient scale and diversity required to provide strong evidence for improving patient care. Our study was to develop a web-based management system for radiology-CDM (R-CDM), as an extension of the OMOP-CDM, and to evaluate the feasibility of R-CDM dataset for application of radiological image data in clinical practice.

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