{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T01:39:52Z","timestamp":1772156392671,"version":"3.50.1"},"reference-count":46,"publisher":"Georg Thieme Verlag KG","issue":"03","license":[{"start":{"date-parts":[[2021,7,14]],"date-time":"2021-07-14T00:00:00Z","timestamp":1626220800000},"content-version":"vor","delay-in-days":74,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000092","name":"National Library of Medicine","doi-asserted-by":"crossref","award":["R01LM012605\u201301A1"],"award-info":[{"award-number":["R01LM012605\u201301A1"]}],"id":[{"id":"10.13039\/100000092","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/100000092","name":"National Library of Medicine","doi-asserted-by":"crossref","award":["R01LM012095"],"award-info":[{"award-number":["R01LM012095"]}],"id":[{"id":"10.13039\/100000092","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/100000133","name":"Agency for Healthcare Research and Quality","doi-asserted-by":"crossref","award":["1R01HS027185\u201301A1"],"award-info":[{"award-number":["1R01HS027185\u201301A1"]}],"id":[{"id":"10.13039\/100000133","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Lilly Endowment, Inc. Physician Scientist Initiative"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Appl Clin Inform"],"published-print":{"date-parts":[[2021,5]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>\n          Objective\u2003Although vast amounts of patient information are captured in electronic health records (EHRs), effective clinical use of this information is challenging due to inadequate and inefficient access to it at the point of care. The purpose of this study was to conduct a scoping review of the literature on the use of EHR search functions within a single patient's record in clinical settings to characterize the current state of research on the topic and identify areas for future study.<\/jats:p><jats:p>\n          Methods\u2003We conducted a literature search of four databases to identify articles on within-EHR search functions or the use of EHR search function in the context of clinical tasks. After reviewing titles and abstracts and performing a full-text review of selected articles, we included 17 articles in the analysis. We qualitatively identified themes in those articles and synthesized the literature for each theme.<\/jats:p><jats:p>\n          Results\u2003Based on the 17 articles analyzed, we delineated four themes: (1) how clinicians use search functions, (2) impact of search functions on clinical workflow, (3) weaknesses of current search functions, and (4) advanced search features. Our review found that search functions generally facilitate patient information retrieval by clinicians and are positively received by users. However, existing search functions have weaknesses, such as yielding false negatives and false positives, which can decrease trust in the results, and requiring a high cognitive load to perform an inclusive search of a patient's record.<\/jats:p><jats:p>\n          Conclusion\u2003Despite the widespread adoption of EHRs, only a limited number of articles describe the use of EHR search functions in a clinical setting, despite evidence that they benefit clinician workflow and productivity. Some of the weaknesses of current search functions may be addressed by enhancing EHR search functions with collaborative filtering.<\/jats:p>","DOI":"10.1055\/s-0041-1730033","type":"journal-article","created":{"date-parts":[[2021,7,14]],"date-time":"2021-07-14T23:30:12Z","timestamp":1626305412000},"page":"417-428","source":"Crossref","is-referenced-by-count":6,"title":["Use, Impact, Weaknesses, and Advanced Features of Search Functions for Clinical Use in Electronic Health Records: A Scoping Review"],"prefix":"10.1055","volume":"12","author":[{"given":"Jordan R.","family":"Hill","sequence":"additional","affiliation":[{"name":"Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shyam","family":"Visweswaran","sequence":"additional","affiliation":[{"name":"Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xia","family":"Ning","sequence":"additional","affiliation":[{"name":"Department of Biomedical Informatics, The Ohio State University, Columbus, Ohio, United States"},{"name":"Department of Computer Science and Engineering, The Ohio State University, Columbus, Ohio, United States"},{"name":"Translational Data Analytics Institute, The Ohio State University, Ohio, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Titus K.","family":"Schleyer","sequence":"additional","affiliation":[{"name":"Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, United States"},{"name":"Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana, United 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