{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,22]],"date-time":"2025-02-22T05:20:26Z","timestamp":1740201626085,"version":"3.37.3"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"abstract":"<jats:p>Clinical decision support systems, when used effectively, can improve the quality of care. However, such systems can malfunction, and these malfunctions can be difficult to detect. In this poster, we describe four methods of detecting and resolving issues with clinical decision support: 1) statistical anomaly detection, 2) visual analytics and dashboards, 3) user feedback analysis, 4) taxonomization of failure modes\/effects.<\/jats:p>","DOI":"10.3233\/978-1-61499-830-3-1385","type":"book-chapter","created":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T07:07:16Z","timestamp":1740121636000},"source":"Crossref","is-referenced-by-count":0,"title":["Methods for Detecting Malfunctions in Clinical Decision Support Systems"],"prefix":"10.3233","author":[{"family":"Wright Adam","sequence":"additional","affiliation":[]},{"family":"Hickman Trang T.","sequence":"additional","affiliation":[]},{"family":"McEvoy Dustin","sequence":"additional","affiliation":[]},{"family":"Aaron Skye","sequence":"additional","affiliation":[]},{"family":"Ai Angela","sequence":"additional","affiliation":[]},{"family":"Ash Joan S.","sequence":"additional","affiliation":[]},{"family":"Andersen Jan Marie","sequence":"additional","affiliation":[]},{"family":"Ramoni Rachel","sequence":"additional","affiliation":[]},{"family":"Hauskrecht Milos","sequence":"additional","affiliation":[]},{"family":"Embi Peter","sequence":"additional","affiliation":[]},{"family":"Schreiber Richard","sequence":"additional","affiliation":[]},{"family":"Sittig Dean F.","sequence":"additional","affiliation":[]},{"family":"Bates David W.","sequence":"additional","affiliation":[]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","MEDINFO 2017: Precision Healthcare through Informatics"],"original-title":[],"deposited":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T07:47:34Z","timestamp":1740124054000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISBN&isbn=978-1-61499-829-7&spage=1385&doi=10.3233\/978-1-61499-830-3-1385"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-61499-830-3-1385","relation":{},"ISSN":["0926-9630"],"issn-type":[{"value":"0926-9630","type":"print"}],"subject":[],"published":{"date-parts":[[2017]]}}}