{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,6,7]],"date-time":"2022-06-07T10:16:14Z","timestamp":1654596974103},"reference-count":0,"publisher":"IOS Press","license":[{"start":{"date-parts":[[2022,6,6]],"date-time":"2022-06-06T00:00:00Z","timestamp":1654473600000},"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":[[2022,6,6]]},"abstract":"<jats:p>Clinical researchers hold high expectations for the utility of health data sourced from hospital information systems. In Japan, the standardized structured medical information eXchange version 2 (SS-MIX2) storage is a common resource for obtaining clinical data from different medical databases. However, little is known about the coverage of the data types derived from the SS-MIX2 storage. In this regard, we calculated the proportions of a dataset that could be extracted via SS-MIX2 for various clinical study categories listed in various articles published in the New England Journal of Medicine. In the 95 articles reviewed, the proportions varied from 13.3% \u00b1 13.3% (mean \u00b1 SD) for dementia to 61.8% \u00b1 13.7% for diabetes. For cardiology, the proportion of data accessed in a unique format (SEAMAT) increased significantly. We further noted that there was room for improvement in the coverage of SS-MIX2 data.<\/jats:p>","DOI":"10.3233\/shti220020","type":"book-chapter","created":{"date-parts":[[2022,6,7]],"date-time":"2022-06-07T09:29:44Z","timestamp":1654594184000},"source":"Crossref","is-referenced-by-count":0,"title":["Coverage of Clinical Research Data Retrieved from Standardized Structured Medical Information eXchange Storage"],"prefix":"10.3233","author":[{"given":"Masaharu","family":"Nakayama","sequence":"first","affiliation":[{"name":"Department of Medical Informatics, Tohoku University Graduate School of Medicine, Miyagi, Japan"},{"name":"Medical IT center, Tohoku University Hospital, Miyagi, Japan"}]},{"given":"Feng","family":"Hui","sequence":"additional","affiliation":[{"name":"Department of Medical Informatics, Tohoku University Graduate School of Medicine, Miyagi, Japan"}]},{"given":"Ryusuke","family":"Inoue","sequence":"additional","affiliation":[{"name":"Medical IT center, Tohoku University Hospital, Miyagi, Japan"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","MEDINFO 2021: One World, One Health \u2013 Global Partnership for Digital Innovation"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI220020","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,7]],"date-time":"2022-06-07T09:29:45Z","timestamp":1654594185000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI220020"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,6]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti220020","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,6,6]]}}}