Exploring decision-makers' challenges and strategies when selecting multiple systematic reviews: insights for AI decision support tools in healthcare.

Journal: BMJ open
Published Date: Jul 5, 2024

Abstract

BACKGROUND: Systematic reviews (SRs) are being published at an accelerated rate. Decision-makers may struggle with comparing and choosing between multiple SRs on the same topic. We aimed to understand how healthcare decision-makers (eg, practitioners, policymakers, researchers) use SRs to inform decision-making and to explore the potential role of a proposed artificial intelligence (AI) tool to assist in critical appraisal and choosing among SRs.

Authors

  • Carole Lunny
    Knowledge Translation Program, Li Ka Shing Knowledge Institute, UBC, Toronto, Ontario, Canada carole.lunny@ubc.ca.
  • Sera Whitelaw
    Faculty of Medicine and Health Sciences, McGill University, Montreal, Quebec, Canada.
  • Emma K Reid
    Department of Pharmacy, Nova Scotia Health Authority, Halifax, Nova Scotia, Canada.
  • Yuan Chi
    Department of Biomedical Informatics, Columbia University, New York, NY, USA.
  • Nicola Ferri
    Dipartimento di Scienze del Farmaco, Università degli Studi di Padova, Padua, Italy.
  • Jia He Janet Zhang
    Anesthesiology, Pharmacology & Therapeutics, The University of British Columbia, Vancouver, British Columbia, Canada.
  • Dawid Pieper
    Institute for Health Services and Health System Research, Faculty of Health Sciences Brandenburg, Brandenburg Medical School Theodor Fontane, Neuruppin, Brandenburg, Germany.
  • Salmaan Kanji
    Department of Pharmacy, Ottawa Hospital, Ottawa, Ontario, Canada.
  • Areti-Angeliki Veroniki
    Li Ka Shing Knowledge Institute of St Michael's Hospital, Knowledge Translation Program, St Michael's Hospital, Toronto, Ontario, Canada.
  • Beverley Shea
    University of Ottawa, Ottawa, Ontario, Canada.
  • Jasmeen Dourka
    Knowledge Translation Program, Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, Ontario, Canada.
  • Clare Ardern
    Department of Family Practice, The University of British Columbia-Vancouver Campus, Vancouver, British Columbia, Canada.
  • Ba Pham
    Knowledge Translation Program, Li Ka Shing Knowledge Institute, University of Toronto, Toronto, Ontario, Canada.
  • Ebrahim Bagheri
    Laboratory for Systems, Software and Semantics (LS3), Ryerson University, Ontario, Canada(1). Electronic address: bagheri@ryerson.ca.
  • Andrea C Tricco
    Knowledge Translation Program, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, 209 Victoria St, Toronto, Ontario, M5B 1T8, Canada. Andrea.Tricco@unityhealth.to.

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