Comparing the predictive ability of a commercial artificial intelligence early warning system with physician judgement for clinical deterioration in hospitalised general internal medicine patients: a prospective observational study.

Journal: BMJ open
PMID: 31601602

Abstract

OBJECTIVE: Our study compares physician judgement with an automated early warning system (EWS) for predicting clinical deterioration of hospitalised general internal medicine patients.

Authors

  • Jonathan Arnold
    Division of General Internal Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA arnoldjd@pitt.edu.
  • Alex Davis
    Engineering and Public Policy, Carnegie Mellon University College of Engineering, Pittsburgh, Pennsylvania, USA.
  • Baruch Fischhoff
    Engineering and Public Policy, Carnegie Mellon University College of Engineering, Pittsburgh, Pennsylvania, USA.
  • Emmanuelle Yecies
    Division of General Internal Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
  • Jon Grace
    Division of Pulmonary & Critical Care Medicine, University of Michigan Department of Internal Medicine, Ann Arbor, Michigan, USA.
  • Andrew Klobuka
    Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
  • Deepika Mohan
    Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
  • Janel Hanmer
    Division of General Internal Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.

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