Can clinical audits be enhanced by pathway simulation and machine learning? An example from the acute stroke pathway.

Journal: BMJ open
Published Date: Sep 17, 2019

Abstract

OBJECTIVE: To evaluate the application of clinical pathway simulation in machine learning, using clinical audit data, in order to identify key drivers for improving use and speed of thrombolysis at individual hospitals.

Authors

  • Michael Allen
    University of Exeter Medical School, Exeter, UK and NIHR South West Peninsula Applied Research Collaboration (ARC), Exeter, UK.
  • Kerry Pearn
    University of Exeter Medical School, Exeter, UK and NIHR South West Peninsula Applied Research Collaboration (ARC), Exeter, UK.
  • Thomas Monks
    University of Southampton, Southampton, UK.
  • Benjamin D Bray
    Public Health, Royal College Physicians, London, UK.
  • Richard Everson
    The Royal Veterinary College, Hatfield, UK.
  • Andrew Salmon
    Medical School, University of Exeter, Exeter, UK.
  • Martin James
    University of Exeter Medical School, Exeter, UK and NIHR South West Peninsula Applied Research Collaboration (ARC), Exeter, UK.
  • Ken Stein
    Evidence Synthesis Team, NIHR CLAHRC South West Peninsula (PenCLAHRC), College of Medicine and Health, University of Exeter, Exeter, UK.

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