{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,1,26]],"date-time":"2024-01-26T00:13:15Z","timestamp":1706227995442},"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>Real-world data (RWD) could be a new way to evaluate the safety and efficacy of post-marketing drugs, while there is no common method for how to use RWD for drug evaluation. In this paper, we present a framework for real-world drug evaluation based on electronic medical record (EHR) data. We designed a data model customized for post-marketing drug evaluation and a unified post-marketing drug evaluation pipeline. The proposed framework can be applied to drug evaluations with different study paradigms for different purposes by flexible use of the proposed data model and pipeline. A prototype system has been developed according to the framework. Real-world EHRs in a tertiary hospital in China between 2010 and 2020 were converted to the proposed data model, and as a test case, we conducted a research on the risk of allergic reactions to cefodizime and ceftriaxone using the prototype system.<\/jats:p>","DOI":"10.3233\/shti230942","type":"book-chapter","created":{"date-parts":[[2024,1,25]],"date-time":"2024-01-25T10:17:18Z","timestamp":1706177838000},"source":"Crossref","is-referenced-by-count":0,"title":["A Post-Marketing Drug Evaluation Framework Based on Real-World Electronic Health Records Data"],"prefix":"10.3233","author":[{"given":"Yu","family":"Wang","sequence":"first","affiliation":[{"name":"Research Center for Healthcare Data Science, Zhejiang Laboratory, Hangzhou, China"}]},{"given":"Shuang","family":"Ma","sequence":"additional","affiliation":[{"name":"Research Center for Healthcare Data Science, Zhejiang Laboratory, Hangzhou, China"}]},{"given":"Hua","family":"Ru","sequence":"additional","affiliation":[{"name":"Research Center for Healthcare Data Science, Zhejiang Laboratory, Hangzhou, China"}]},{"given":"Hongyi","family":"Ni","sequence":"additional","affiliation":[{"name":"Research Center for Healthcare Data Science, Zhejiang Laboratory, Hangzhou, China"}]},{"given":"Jingsong","family":"Li","sequence":"additional","affiliation":[{"name":"Research Center for Healthcare Data Science, Zhejiang Laboratory, Hangzhou, China"},{"name":"Engineering Research Center of EMR and Intelligent Expert System, Ministry of Education, Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","MEDINFO 2023 \u2014 The Future Is Accessible"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI230942","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,25]],"date-time":"2024-01-25T10:17:19Z","timestamp":1706177839000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI230942"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,25]]},"ISBN":["9781643684567","9781643684574"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti230942","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,1,25]]}}}