How machine learning is embedded to support clinician decision making: an analysis of FDA-approved medical devices.

Journal: BMJ health & care informatics
Published Date: Apr 1, 2021

Abstract

OBJECTIVE: To examine how and to what extent medical devices using machine learning (ML) support clinician decision making.

Authors

  • David Lyell
    Australian Institute of Health Innovation, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia david.lyell@mq.edu.au.
  • Enrico Coiera
    1Australian Institute of Health Innovation, Macquarie University, Level 6 75 Talavera Rd, Sydney, NSW 2109 Australia.
  • Jessica Chen
    Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia.
  • Parina Shah
    Australian Institute of Health Innovation, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia.
  • Farah Magrabi
    Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Australia.

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