{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,15]],"date-time":"2025-04-15T05:39:10Z","timestamp":1744695550232},"reference-count":13,"publisher":"Georg Thieme Verlag KG","issue":"05","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Appl Clin Inform"],"published-print":{"date-parts":[[2021,10]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>\n          Objective\u2003We describe the design, implementation, and validation of an online, publicly available tool to algorithmically triage patients experiencing severe acute respiratory syndrome coronavirus (SARS-CoV-2)-like symptoms.<\/jats:p><jats:p>\n          Methods\u2003We conducted a chart review of patients who completed the triage tool and subsequently contacted our institution's phone triage hotline to assess tool- and clinician-assigned triage codes, patient demographics, SARS-CoV-2 (COVID-19) test data, and health care utilization in the 30 days post-encounter. We calculated the percentage of concordance between tool- and clinician-assigned triage categories, down-triage (clinician assigning a less severe category than the triage tool), and up-triage (clinician assigning a more severe category than the triage tool) instances.<\/jats:p><jats:p>\n          Results\u2003From May 4, 2020 through January 31, 2021, the triage tool was completed 30,321 times by 20,930 unique patients. Of those 30,321 triage tool completions, 51.7% were assessed by the triage tool to be asymptomatic, 15.6% low severity, 21.7% moderate severity, and 11.0% high severity. The concordance rate, where the triage tool and clinician assigned the same clinical severity, was 29.2%. The down-triage rate was 70.1%. Only six patients were up-triaged by the clinician. 72.1% received a COVID-19 test administered by our health care system within 14 days of their encounter, with a positivity rate of 14.7%.<\/jats:p><jats:p>\n          Conclusion\u2003The design, pilot, and validation analysis in this study show that this COVID-19 triage tool can safely triage patients when compared with clinician triage personnel. This work may signal opportunities for automated triage of patients for conditions beyond COVID-19 to improve patient experience by enabling self-service, on-demand, 24\/7 triage access.<\/jats:p>","DOI":"10.1055\/s-0041-1736627","type":"journal-article","created":{"date-parts":[[2021,11,4]],"date-time":"2021-11-04T00:09:57Z","timestamp":1635984597000},"page":"1021-1028","source":"Crossref","is-referenced-by-count":6,"title":["Design, Implementation, and Validation of an Automated, Algorithmic COVID-19 Triage Tool"],"prefix":"10.1055","volume":"12","author":[{"given":"Elana A.","family":"Meer","sequence":"first","affiliation":[{"name":"Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States"},{"name":"Center for Health Incentives and Behavioral Economics, University of Pennsylvania, Philadelphia, Pennsylvania, United States"}]},{"given":"Maguire","family":"Herriman","sequence":"first","affiliation":[{"name":"Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States"},{"name":"Center for Health Incentives and Behavioral Economics, University of Pennsylvania, Philadelphia, Pennsylvania, United States"}]},{"given":"Doreen","family":"Lam","sequence":"additional","affiliation":[{"name":"Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States"}]},{"given":"Andrew","family":"Parambath","sequence":"additional","affiliation":[{"name":"Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States"}]},{"given":"Roy","family":"Rosin","sequence":"additional","affiliation":[{"name":"Center for Health Incentives and Behavioral Economics, University of Pennsylvania, Philadelphia, Pennsylvania, United States"},{"name":"Penn Medicine Center for Health Care Innovation, University of Pennsylvania Health System, Philadelphia, Pennsylvania, United States"}]},{"given":"Kevin G.","family":"Volpp","sequence":"additional","affiliation":[{"name":"Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States"},{"name":"Center for Health Incentives and Behavioral Economics, University of Pennsylvania, Philadelphia, Pennsylvania, United States"},{"name":"Department of Medicine, University of Pennsylvania Health System, Philadelphia, Pennsylvania, United States"}]},{"given":"Krisda H.","family":"Chaiyachati","sequence":"additional","affiliation":[{"name":"Penn Medicine Center for Health Care Innovation, University of Pennsylvania Health System, Philadelphia, Pennsylvania, United States"},{"name":"Department of Medicine, University of Pennsylvania Health System, Philadelphia, Pennsylvania, United States"},{"name":"Leonard Davis Institute, University of Pennsylvania, Philadelphia, Pennsylvania, United States"}]},{"suffix":"III","given":"John D.","family":"McGreevey","sequence":"additional","affiliation":[{"name":"Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States"},{"name":"Office of the Chief Medical Information Officer, University of Pennsylvania Health System, Philadelphia, Pennsylvania, United States"},{"name":"Center for Applied Health Informatics, University of Pennsylvania Health System, Philadelphia, Pennsylvania, United States"}]}],"member":"194","published-online":{"date-parts":[[2021,11,3]]},"reference":[{"key":"ref1","first-page":"70","article-title":"Giving patients choice and control: health informatics on the patient journey","volume":"7","author":"B Gann","year":"2012","journal-title":"Yearb Med Inform"},{"issue":"03","key":"ref3","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1089\/tmj.2011.0127","article-title":"Should you search the Internet for information about your acute symptom?","volume":"18","author":"F North","year":"2012","journal-title":"Telemed J E 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