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

Scoping Review Protocols (203) Decision Support for Health Professionals (1315) Participatory Design and Participatory Research (356) Artificial Intelligence (1646) Co-Design & Participatory Design (92)

Published on in Vol 13 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58185, first published .
Challenges and Facilitation Approaches for the Participatory Design of AI-Based Clinical Decision Support Systems: Protocol for a Scoping Review

Challenges and Facilitation Approaches for the Participatory Design of AI-Based Clinical Decision Support Systems: Protocol for a Scoping Review

Challenges and Facilitation Approaches for the Participatory Design of AI-Based Clinical Decision Support Systems: Protocol for a Scoping Review

Authors of this article:

Tabea Rambach1 Author Orcid Image ;   Patricia Gleim2 Author Orcid Image ;   Sekina Mandelartz2 Author Orcid Image ;   Carolin Heizmann2 Author Orcid Image ;   Christophe Kunze1 Author Orcid Image ;   Philipp Kellmeyer2, 3 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Yu S, Lee S, Hwang H. The ethics of using artificial intelligence in medical research. Kosin Medical Journal 2024;39(4):229 View
  2. Tun H, Rahman H, Naing L, Malik O. Trust in AI-Based Clinical Decision Support Systems Among Healthcare Workers: A Systematic Review (Preprint). Journal of Medical Internet Research 2024 View