{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,27]],"date-time":"2026-04-27T20:02:37Z","timestamp":1777320157561,"version":"3.51.4"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643684567","type":"print"},{"value":"9781643684574","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,25]],"date-time":"2024-01-25T00:00:00Z","timestamp":1706140800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,1,25]]},"abstract":"<jats:p>The amount of research on the gathering and handling of healthcare data keeps growing. To support multi-center research, numerous institutions have sought to create a common data model (CDM). However, data quality issues continue to be a major obstacle in the development of CDM. To address these limitations, a data quality assessment system was created based on the representative data model OMOP CDM v5.3.1. Additionally, 2,433 advanced evaluation rules were created and incorporated into the system by mapping the rules of existing OMOP CDM quality assessment systems. The data quality of six hospitals was verified using the developed system and an overall error rate of 0.197% was confirmed. Finally, we proposed a plan for high-quality data generation and the evaluation of multi-center CDM quality.<\/jats:p>","DOI":"10.3233\/shti230985","type":"book-chapter","created":{"date-parts":[[2024,1,25]],"date-time":"2024-01-25T10:21:41Z","timestamp":1706178101000},"source":"Crossref","is-referenced-by-count":1,"title":["Development of Integrated Data Quality Management System for Observational Medical Outcomes Partnership Common Data Model"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0328-9634","authenticated-orcid":false,"given":"Seol Whan","family":"Oh","sequence":"first","affiliation":[{"name":"Department of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea"},{"name":"Department of Biomedicine &Health Sciences, The Catholic University of Korea, Seoul, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6550-9188","authenticated-orcid":false,"given":"Soo Jeong","family":"Ko","sequence":"additional","affiliation":[{"name":"Department of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea"},{"name":"Department of Biomedicine &Health Sciences, The Catholic University of Korea, Seoul, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2510-1380","authenticated-orcid":false,"given":"Yun Seon","family":"Im","sequence":"additional","affiliation":[{"name":"Department of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea"},{"name":"Department of Biomedicine &Health Sciences, The Catholic University of Korea, Seoul, Republic of 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College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2860-9411","authenticated-orcid":false,"given":"In Young","family":"Choi","sequence":"additional","affiliation":[{"name":"Department of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","MEDINFO 2023 \u2014 The Future Is 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