This paper is in the following e-collection/theme issue:

E-Health Policy and Health Systems Innovation (230) Research Instruments, Questionnaires, and Tools (576) Theoretical Frameworks and Concepts (252) eHealth Infrastructures (345) Artificial Intelligence (1371) Artificial Intelligence (86)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48496, first published .
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

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

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

Authors of this article:

Pascale Lehoux1 Author Orcid Image ;   Robson Rocha de Oliveira2 Author Orcid Image ;   Lysanne Rivard2 Author Orcid Image ;   Hudson Pacifico Silva2 Author Orcid Image ;   Hassane Alami3 Author Orcid Image ;   Carl Maria Mörch4 Author Orcid Image ;   Kathy Malas5 Author Orcid Image
Article Authors Cited by (3) Tweetations (11) Metrics

Pascale Lehoux   1 , PhD ;   Robson Rocha de Oliveira   2 , MD, PhD ;   Lysanne Rivard   2 , PhD ;   Hudson Pacifico Silva   2 , PhD ;   Hassane Alami   3 , PhD ;   Carl Maria Mörch   4 , MPsy, PhD ;   Kathy Malas   5 , MPO, GCHlthMgt

1 Department of Health Management, Evaluation and Policy, Université de Montréal; Center for Public Health Research, Montréal, QC, Canada

2 Center for Public Health Research, Université de Montréal, Montréal, QC, Canada

3 Interdisciplinary Research in Health Sciences, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom

4 AI for the Common Good Institute, Université Libre de Bruxelles, Bruxelles, Belgium

5 Innovation and Artificial Intelligence, Executive Office, Centre hospitalier de l’Université de Montréal, Montréal, QC, Canada

Corresponding Author:

  • Pascale Lehoux, PhD
  • Department of Health Management, Evaluation and Policy, Université de Montréal; Center for Public Health Research
  • 7101, Avenue du Parc
  • Montréal, QC, H3N 1X9
  • Canada
  • Phone: 1 5143437978
  • Email: pascale.lehoux@umontreal.ca