{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T12:12:38Z","timestamp":1777637558901,"version":"3.51.4"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643682068","type":"print"},{"value":"9781643682075","type":"electronic"}],"license":[{"start":{"date-parts":[[2021,9,21]],"date-time":"2021-09-21T00:00:00Z","timestamp":1632182400000},"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":[[2021,9,21]]},"abstract":"<jats:p>OHDSI, a fast growing open-science research community seeks to enable researchers from around the globe to conduct network studies based on standardized data and vocabularies. There is no comprehensive review of publications about OHDSI\u2019s standard: the OMOP Common Data Model and its usage available. In this work we aim to close this gap and provide a summary of existing publications including the analysis of its meta information such as the choice of journals, journal types, countries, as well as an analysis by topics based on a title and abstract screening. Since 2016, the number of publications has been constantly growing and the relevance of the OMOP CDM is increasing in terms of multi-country studies based on observational patient data.<\/jats:p>","DOI":"10.3233\/shti210546","type":"book-chapter","created":{"date-parts":[[2021,9,21]],"date-time":"2021-09-21T11:42:08Z","timestamp":1632224528000},"source":"Crossref","is-referenced-by-count":51,"title":["The Usage of OHDSI OMOP \u2013 A Scoping Review"],"prefix":"10.3233","author":[{"given":"Ines","family":"Reinecke","sequence":"first","affiliation":[{"name":"Institute for Medical Informatics and Biometry at Carl Gustav Carus Faculty of Medicine at Technische Universit\u00e4t Dresden, Germany"}]},{"given":"Mich\u00e9le","family":"Zoch","sequence":"additional","affiliation":[{"name":"Institute for Medical Informatics and Biometry at Carl Gustav Carus Faculty of Medicine at Technische Universit\u00e4t Dresden, Germany"}]},{"given":"Christian","family":"Reich","sequence":"additional","affiliation":[{"name":"IQVIA, Cambridge, MA, USA"},{"name":"Observational Health Data Sciences and Informatics (OHDSI), New York, NY, USA"}]},{"given":"Martin","family":"Sedlmayr","sequence":"additional","affiliation":[{"name":"Institute for Medical Informatics and Biometry at Carl Gustav Carus Faculty of Medicine at Technische Universit\u00e4t Dresden, Germany"}]},{"given":"Franziska","family":"Bathelt","sequence":"additional","affiliation":[{"name":"Institute for Medical Informatics and Biometry at Carl Gustav Carus Faculty of Medicine at Technische Universit\u00e4t Dresden, Germany"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","German Medical Data Sciences 2021: Digital Medicine: Recognize \u2013 Understand \u2013 Heal"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI210546","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,10,25]],"date-time":"2021-10-25T13:30:19Z","timestamp":1635168619000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI210546"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,21]]},"ISBN":["9781643682068","9781643682075"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti210546","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,9,21]]}}}