Early identification of patients admitted to hospital for covid-19 at risk of clinical deterioration: model development and multisite external validation study.

Journal: BMJ (Clinical research ed.)
PMID:

Abstract

OBJECTIVE: To create and validate a simple and transferable machine learning model from electronic health record data to accurately predict clinical deterioration in patients with covid-19 across institutions, through use of a novel paradigm for model development and code sharing.

Authors

  • Fahad Kamran
    Division of Computer Science and Engineering, University of Michigan College of Engineering, Ann Arbor, MI 48109, USA.
  • Shengpu Tang
    Division of Computer Science and Engineering, Department of Electronic Engineering and Computer Science, University of Michigan, Ann Arbor, MI.
  • Erkin Ötleş
    E. Ötleş is Medical Scientist Training Program fellow, Department of Industrial and Operations Engineering, University of Michigan Medical School, Ann Arbor, Michigan.
  • Dustin S McEvoy
    Mass General Brigham Digital Health eCare, Somerville, MA, USA.
  • Sameh N Saleh
    Clinical Informatics Center, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
  • Jen Gong
    Center for Clinical Informatics and Improvement Research, University of California, San Francisco, CA, USA.
  • Benjamin Y Li
    Dow Division of Health Services Research, Department of Urology, University of Michigan Health System, Ann Arbor, MI.
  • Sayon Dutta
    Mass General Brigham Digital Health eCare, Somerville, MA, USA.
  • Xinran Liu
  • Richard J Medford
    Division of Infectious Diseases, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
  • Thomas S Valley
    Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA.
  • Lauren R West
    Infection Control Unit, Massachusetts General Hospital, Boston, MA, USA.
  • Karandeep Singh
    Department of Internal Medicine and School of Information, University of Michigan, Ann Arbor, Michigan.
  • Seth Blumberg
    Division of Hospital Medicine, University of California, San Francisco, San Francisco, CA, USA.
  • John P Donnelly
    Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA.
  • Erica S Shenoy
    Infection Control Unit, Boston, Massachusetts.
  • John Z Ayanian
    Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA.
  • Brahmajee K Nallamothu
    From the Division of Cardiology, Department of Medicine; Cardiovascular Research Institute; Institute for Human Genetics; and Institute for Computational Health Sciences, University of California San Francisco, and California Institute for Quantitative Biosciences (R.C.D.); and VA Health Services Research and Development Center for Clinical Management Research, VA Ann Arbor Healthcare System, MI; Michigan Center for Health Analytics and Medical Prediction (M-CHAMP), Department of Internal Medicine, University of Michigan Medical School, Ann Arbor (B.K.N.).
  • Michael W Sjoding
    1 Department of Internal Medicine, and.
  • Jenna Wiens
    Computer Science and Engineering, University of Michigan, Ann Arbor.