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However, few models have been prospectively validated and none report implementation in practice. Here, we use 3345 retrospective and 474 prospective hospitalizations to develop and validate a parsimonious model to identify patients with favorable outcomes within 96\u2009h of a prediction, based on real-time lab values, vital signs, and oxygen support variables. In retrospective and prospective validation, the model achieves high average precision (88.6% 95% CI: [88.4\u201388.7] and 90.8% [90.8\u201390.8]) and discrimination (95.1% [95.1\u201395.2] and 86.8% [86.8\u201386.9]) respectively. We implemented and integrated the model into the EHR, achieving a positive predictive value of 93.3% with 41% sensitivity. Preliminary results suggest clinicians are adopting these scores into their clinical workflows.<\/jats:p>","DOI":"10.1038\/s41746-020-00343-x","type":"journal-article","created":{"date-parts":[[2020,10,6]],"date-time":"2020-10-06T10:04:27Z","timestamp":1601978667000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":51,"title":["A validated, real-time prediction model for favorable outcomes in hospitalized COVID-19 patients"],"prefix":"10.1038","volume":"3","author":[{"given":"Narges","family":"Razavian","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2604-3458","authenticated-orcid":false,"given":"Vincent J.","family":"Major","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6374-753X","authenticated-orcid":false,"given":"Mukund","family":"Sudarshan","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3785-2154","authenticated-orcid":false,"given":"Jesse","family":"Burk-Rafel","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7521-2516","authenticated-orcid":false,"given":"Peter","family":"Stella","sequence":"additional","affiliation":[]},{"given":"Hardev","family":"Randhawa","sequence":"additional","affiliation":[]},{"given":"Seda","family":"Bilaloglu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4856-0141","authenticated-orcid":false,"given":"Ji","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Vuthy","family":"Nguy","sequence":"additional","affiliation":[]},{"given":"Walter","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Hao","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Ilan","family":"Reinstein","sequence":"additional","affiliation":[]},{"given":"David","family":"Kudlowitz","sequence":"additional","affiliation":[]},{"given":"Cameron","family":"Zenger","sequence":"additional","affiliation":[]},{"given":"Meng","family":"Cao","sequence":"additional","affiliation":[]},{"given":"Ruina","family":"Zhang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2386-7849","authenticated-orcid":false,"given":"Siddhant","family":"Dogra","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9244-7253","authenticated-orcid":false,"given":"Keerthi B.","family":"Harish","sequence":"additional","affiliation":[]},{"given":"Brian","family":"Bosworth","sequence":"additional","affiliation":[]},{"given":"Fritz","family":"Francois","sequence":"additional","affiliation":[]},{"given":"Leora I.","family":"Horwitz","sequence":"additional","affiliation":[]},{"given":"Rajesh","family":"Ranganath","sequence":"additional","affiliation":[]},{"given":"Jonathan","family":"Austrian","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8605-5392","authenticated-orcid":false,"given":"Yindalon","family":"Aphinyanaphongs","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,10,6]]},"reference":[{"key":"343_CR1","unstructured":"COVID-19 United States Cases by County. 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