Artificial intelligence after the bedside: co-design of AI-based clinical informatics workflows to routinely analyse patient-reported experience measures in hospitals.

Journal: BMJ health & care informatics
PMID:

Abstract

OBJECTIVE: To co-design artificial intelligence (AI)-based clinical informatics workflows to routinely analyse patient-reported experience measures (PREMs) in hospitals.

Authors

  • Oliver J Canfell
    Queensland Digital Health Centre, Faculty of Medicine, The University of Queensland, Brisbane, Australia.
  • Wilkin Chan
    Queensland Digital Health Centre, Centre for Health Services Research, The University of Queensland, Saint Lucia, Queensland, Australia.
  • Jason D Pole
    Queensland Digital Health Centre, Faculty of Medicine, The University of Queensland, Brisbane, Australia.
  • Teyl Engstrom
    Queensland Digital Health Centre, Centre for Health Services Research, The University of Queensland, Saint Lucia, Queensland, Australia.
  • Tim Saul
    Queensland Digital Health Centre, Centre for Health Services Research, The University of Queensland, Saint Lucia, Queensland, Australia.
  • Jacqueline Daly
    Patient Quality & Safety Improvement Service, Clinical Excellence Queensland, Queensland Health, Brisbane, Queensland, Australia.
  • Clair Sullivan
    Queensland Digital Health Centre, University of Queensland, Brisbane, QLD.