Tools to foster responsibility in digital solutions that operate with or without artificial intelligence: A scoping review for health and innovation policymakers.

Journal: International journal of medical informatics
Published Date: Dec 5, 2022

Abstract

BACKGROUND: Digital health solutions that operate with or without artificial intelligence (D/AI) raise several responsibility challenges. Though many frameworks and tools have been developed, determining what principles should be translated into practice remains under debate. This scoping review aims to provide policymakers with a rigorous body of knowledge by asking: 1) what kinds of practice-oriented tools are available?; 2) on what principles do they predominantly rely?; and 3) what are their limitations?

Authors

  • P Lehoux
    Department of Health Management, Evaluation and Policy, University of Montreal, Institute of Public Health Research of University of Montreal (IRSPUM), University of Montreal Research Chair on Responsible Innovation in Health, P.O. Box 6128, Branch Centre-Ville, Montreal, Quebec, H3C 3J7, Canada. Electronic address: pascale.lehoux@umontreal.ca.
  • L Rivard
    Center for Public Health Research (CReSP), Université de Montréal, Canada. Electronic address: lysanne.rivard@umontreal.ca.
  • R Rocha de Oliveira
    Center for Public Health Research (CReSP), Université de Montréal, Canada. Electronic address: robson.rocha.de.oliveira@umontreal.ca.
  • C M Mörch
    Algora Lab, Université de Montréal, Montréal, QC, Canada.
  • H Alami
    Interdisciplinary Research in Health Sciences, Nuffield Department of Primary Care Health Sciences, University of Oxford Radcliffe Primary Care Building, Radcliffe Observatory Quarter, Woodstock Road, Oxford OX2 6GG, United Kingdom. Electronic address: hassane.alami@phc.ox.ac.uk.

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