{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,13]],"date-time":"2025-11-13T18:42:14Z","timestamp":1763059334384,"version":"3.37.3"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"abstract":"<jats:p>Common data models (CDM) have enabled the simultaneous analysis of disparate and large data sources. A literature review identified three relevant CDMs: The Observational Medical Outcomes Partnership (OMOP) was the most cited; next the Sentinel; and then the Patient Centered Outcomes Research Institute (PCORI). We tested these three CDMs with fifteen pre-defined criteria for a diabetes cohort study use case, assessing the benefit (good diabetes control), risk (hypoglycaemia) and cost effectiveness of recently licenced medications. We found all three CDMs have a useful role in planning collaborative research and enhance analysis of data cross jurisdiction. However, the number of pre-defined criteria achieved by these three CDMs varied. OMOP met 14\/15, Sentinel 13\/15, and PCORI 10\/15. None met the privacy level we specified, and most of the other gaps were clinical and cost outcome related data.<\/jats:p>","DOI":"10.3233\/978-1-61499-921-8-60","type":"book-chapter","created":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T08:25:19Z","timestamp":1740126319000},"source":"Crossref","is-referenced-by-count":3,"title":["Common Data Models (CDMs) to Enhance International Big Data Analytics: A Diabetes Use Case to Compare Three CDMs"],"prefix":"10.3233","author":[{"family":"Liyanage Harshana","sequence":"additional","affiliation":[]},{"family":"Liaw Siaw-Teng","sequence":"additional","affiliation":[]},{"family":"Jonnagaddala Jitendra","sequence":"additional","affiliation":[]},{"family":"Hinton William","sequence":"additional","affiliation":[]},{"family":"de Lusignan Simon","sequence":"additional","affiliation":[]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Decision Support Systems and Education"],"original-title":[],"deposited":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T08:35:46Z","timestamp":1740126946000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISBN&isbn=978-1-61499-920-1&spage=60&doi=10.3233\/978-1-61499-921-8-60"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-61499-921-8-60","relation":{},"ISSN":["0926-9630"],"issn-type":[{"value":"0926-9630","type":"print"}],"subject":[],"published":{"date-parts":[[2018]]}}}