{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,24]],"date-time":"2024-08-24T00:25:33Z","timestamp":1724459133127},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643685335","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,8,22]],"date-time":"2024-08-22T00:00:00Z","timestamp":1724284800000},"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":[[2024,8,22]]},"abstract":"<jats:p>Clinical data repositories often use entity-attribute-value (EAV) data models. To be valuable for secondary use, these health data can be transformed to the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM). The present paper describes the lessons learned from such an endeavour based on the concept of registering transformation functions on source data elements. We further provide future work directions for follow-up projects.<\/jats:p>","DOI":"10.3233\/shti240419","type":"book-chapter","created":{"date-parts":[[2024,8,23]],"date-time":"2024-08-23T09:08:36Z","timestamp":1724404116000},"source":"Crossref","is-referenced-by-count":0,"title":["Converting Entity-Attribute-Value Data Sources to OMOP\u2019s CDM: Lessons Learned"],"prefix":"10.3233","author":[{"given":"Florian","family":"Katsch","sequence":"first","affiliation":[{"name":"Ludwig Boltzmann Institute for Digital Health and Prevention, Salzburg, Austria"},{"name":"Center for Medical Data Science, Medical University of Vienna, Vienna, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rada","family":"Hussein","sequence":"additional","affiliation":[{"name":"Ludwig Boltzmann Institute for Digital Health and Prevention, Salzburg, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Georg","family":"Duftschmid","sequence":"additional","affiliation":[{"name":"Center for Medical Data Science, Medical University of Vienna, Vienna, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Digital Health and Informatics Innovations for Sustainable Health Care Systems"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI240419","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,23]],"date-time":"2024-08-23T09:08:37Z","timestamp":1724404117000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI240419"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8,22]]},"ISBN":["9781643685335"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti240419","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,8,22]]}}}