{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T03:36:39Z","timestamp":1773200199278,"version":"3.50.1"},"reference-count":112,"publisher":"Oxford University Press (OUP)","issue":"1","license":[{"start":{"date-parts":[[2023,10,17]],"date-time":"2023-10-17T00:00:00Z","timestamp":1697500800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"funder":[{"DOI":"10.13039\/100000057","name":"National Institute of General Medical Sciences","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000057","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Institute of Health","award":["R01GM137083"],"award-info":[{"award-number":["R01GM137083"]}]},{"DOI":"10.13039\/100006108","name":"National Center for Advancing Translational Sciences","doi-asserted-by":"publisher","award":["UL1TR002538"],"award-info":[{"award-number":["UL1TR002538"]}],"id":[{"id":"10.13039\/100006108","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,12,22]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Objective<\/jats:title>\n                  <jats:p>Surveillance algorithms that predict patient decompensation are increasingly integrated with clinical workflows to help identify patients at risk of in-hospital deterioration. This scoping review aimed to identify the design features of the information displays, the types of algorithm that drive the display, and the effect of these displays on process and patient outcomes.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Materials and methods<\/jats:title>\n                  <jats:p>The scoping review followed Arksey and O\u2019Malley\u2019s framework. Five databases were searched with dates between January 1, 2009 and January 26, 2022. Inclusion criteria were: participants\u2014clinicians in inpatient settings; concepts\u2014intervention as deterioration information displays that leveraged automated AI algorithms; comparison as usual care or alternative displays; outcomes as clinical, workflow process, and usability outcomes; and context as simulated or real-world in-hospital settings in any country. Screening, full-text review, and data extraction were reviewed independently by 2 researchers in each step. Display categories were identified inductively through consensus.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>Of 14\u00a0575 articles, 64 were included in the review, describing 61 unique displays. Forty-one displays were designed for specific deteriorations (eg, sepsis), 24 provided simple alerts (ie, text-based prompts without relevant patient data), 48 leveraged well-accepted score-based algorithms, and 47 included nurses as the target users. Only 1 out of the 10 randomized controlled trials reported a significant effect on the primary outcome.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>Despite significant advancements in surveillance algorithms, most information displays continue to leverage well-understood, well-accepted score-based algorithms. Users\u2019 trust, algorithmic transparency, and workflow integration are significant hurdles to adopting new algorithms into effective decision support tools.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/jamia\/ocad203","type":"journal-article","created":{"date-parts":[[2023,10,17]],"date-time":"2023-10-17T20:29:07Z","timestamp":1697574547000},"page":"256-273","source":"Crossref","is-referenced-by-count":9,"title":["Information displays for automated surveillance algorithms of in-hospital patient deterioration: a scoping review"],"prefix":"10.1093","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9767-2046","authenticated-orcid":false,"given":"Yik-Ki Jacob","family":"Wan","sequence":"first","affiliation":[{"name":"Department of Biomedical Informatics, University of Utah , Salt Lake City, UT 84108, United States"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7121-504X","authenticated-orcid":false,"given":"Melanie C","family":"Wright","sequence":"additional","affiliation":[{"name":"College of Pharmacy, Idaho State University , Meridian, ID 83642, United States"}]},{"given":"Mary M","family":"McFarland","sequence":"additional","affiliation":[{"name":"Eccles Health Sciences Library, University of Utah , Salt Lake City, UT 84112, United States"}]},{"given":"Deniz","family":"Dishman","sequence":"additional","affiliation":[{"name":"Cizik School of Nursing Department of Research, University of Texas Health Science Center at Houston , Houston, TX 77030, United States"}]},{"given":"Mary A","family":"Nies","sequence":"additional","affiliation":[{"name":"College of Health, Idaho State University , Pocatello, ID 83209, United States"}]},{"given":"Adriana","family":"Rush","sequence":"additional","affiliation":[{"name":"Department of Biomedical Informatics, University of Utah , Salt Lake City, UT 84108, United States"}]},{"given":"Karl","family":"Madaras-Kelly","sequence":"additional","affiliation":[{"name":"College of Pharmacy, Idaho State University , Meridian, ID 83642, United States"}]},{"given":"Amanda","family":"Jeppesen","sequence":"additional","affiliation":[{"name":"College of Pharmacy, Idaho State University , Meridian, ID 83642, United States"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9954-6799","authenticated-orcid":false,"given":"Guilherme","family":"Del Fiol","sequence":"additional","affiliation":[{"name":"Department of Biomedical Informatics, University of Utah , Salt Lake City, UT 84108, United States"}]}],"member":"286","published-online":{"date-parts":[[2023,10,17]]},"reference":[{"issue":"7-8","key":"2023122220305033200_ocad203-B1","doi-asserted-by":"crossref","first-page":"1360","DOI":"10.1111\/jocn.14238","article-title":"Clinical deterioration: a concept analysis","volume":"27","author":"Padilla","year":"2018","journal-title":"J Clin Nurs"},{"issue":"14","key":"2023122220305033200_ocad203-B2","doi-asserted-by":"crossref","first-page":"1368","DOI":"10.1056\/NEJMsa0903048","article-title":"Variation in hospital mortality associated with inpatient surgery","volume":"361","author":"Ghaferi","year":"2009","journal-title":"N Engl J Med"},{"issue":"12","key":"2023122220305033200_ocad203-B3","doi-asserted-by":"crossref","first-page":"1652","DOI":"10.1016\/j.resuscitation.2013.08.006","article-title":"Do either early warning systems or emergency response teams improve hospital patient survival? 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