Early identification of patients admitted to hospital for covid-19 at risk of clinical deterioration: model development and multisite external validation study.
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| Title: | Early identification of patients admitted to hospital for covid-19 at risk of clinical deterioration: model development and multisite external validation study. |
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| Authors: | Kamran F; Division of Computer Science and Engineering, University of Michigan College of Engineering, Ann Arbor, MI 48109, USA.; Joint first authors., Tang S; Division of Computer Science and Engineering, University of Michigan College of Engineering, Ann Arbor, MI 48109, USA.; Joint first authors., Otles E; Department of Industrial and Operations Engineering, University of Michigan College of Engineering, Ann Arbor, MI, USA.; Medical Scientist Training Program, University of Michigan Medical School, Ann Arbor, MI, USA., McEvoy DS; Mass General Brigham Digital Health eCare, Somerville, MA, USA., Saleh SN; Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.; Clinical Informatics Center, University of Texas Southwestern Medical Center, Dallas, TX, USA., Gong J; Center for Clinical Informatics and Improvement Research, University of California, San Francisco, CA, USA., Li BY; Division of Computer Science and Engineering, University of Michigan College of Engineering, Ann Arbor, MI 48109, USA.; Medical Scientist Training Program, University of Michigan Medical School, Ann Arbor, MI, USA., Dutta S; Mass General Brigham Digital Health eCare, Somerville, MA, USA.; Department of Emergency Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA., Liu X; Division of Hospital Medicine, University of California, San Francisco, San Francisco, CA, USA., Medford RJ; Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.; Clinical Informatics Center, University of Texas Southwestern Medical Center, Dallas, TX, USA., Valley TS; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA.; Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, USA., West LR; Infection Control Unit, Massachusetts General Hospital, Boston, MA, USA., Singh K; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA.; Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, MI, USA., Blumberg S; Division of Hospital Medicine, University of California, San Francisco, San Francisco, CA, USA.; Francis I Proctor Foundation, University of California, San Francisco, San Francisco, CA, USA., Donnelly JP; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA.; Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, MI, USA., Shenoy ES; Infection Control Unit, Massachusetts General Hospital, Boston, MA, USA.; Department of Medicine, Harvard Medical School, Boston, MA, USA.; Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA., Ayanian JZ; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA.; Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, USA., Nallamothu BK; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA.; Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, USA., Sjoding MW; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA.; Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, USA.; Joint senior authors., Wiens J; Division of Computer Science and Engineering, University of Michigan College of Engineering, Ann Arbor, MI 48109, USA wiensj@umich.edu.; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA.; Joint senior authors. |
| Source: | BMJ (Clinical research ed.) [BMJ] 2022 Feb 17; Vol. 376, pp. e068576. Date of Electronic Publication: 2022 Feb 17. |
| Publication Type: | Journal Article; Multicenter Study; Research Support, N.I.H., Intramural; Validation Study |
| Journal Info: | Publisher: British Medical Association Country of Publication: England NLM ID: 8900488 Publication Model: Electronic Cited Medium: Internet ISSN: 1756-1833 (Electronic) Linking ISSN: 09598138 NLM ISO Abbreviation: BMJ Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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