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A Comprehensive, Valid, and Reliable Tool to Assess the Degree of Responsibility of Digital Health Solutions That Operate With or Without Artificial Intelligence: 3-Phase Mixed Methods Study.

Pascale LehouxRobson Rocha de OliveiraLysanne RivardHudson Pacifico da SilvaHassane AlamiCarl-Maria MörchKathy Malas
Published in: Journal of medical Internet research (2023)
The Responsible DAI solutions Assessment Tool offers a comprehensive, valid, and reliable means of assessing the degree of responsibility of DAI solutions in health. As regulation remains limited, this forward-looking tool has the potential to change practice toward more equitable as well as economically and environmentally sustainable digital health care.
Keyphrases
  • healthcare
  • artificial intelligence
  • public health
  • machine learning
  • big data
  • mental health
  • deep learning
  • health information
  • primary care
  • randomized controlled trial
  • study protocol