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

Journal: JMIR research protocols
PMID: 39235846

Abstract

BACKGROUND: In the last few years, there has been an increasing interest in the development of artificial intelligence (AI)-based clinical decision support systems (CDSS). However, there are barriers to the successful implementation of such systems in practice, including the lack of acceptance of these systems. Participatory approaches aim to involve future users in designing applications such as CDSS to be more acceptable, feasible, and fundamentally more relevant for practice. The development of technologies based on AI, however, challenges the process of user involvement and related methods.

Authors

  • Tabea Rambach
    Care & Technology Lab, Furtwangen University, Furtwangen, Germany.
  • Patricia Gleim
    Human-Technology Interaction Lab, Department of Neurosurgery, University Medical Center Freiburg, Freiburg im Breisgau, Germany.
  • Sekina Mandelartz
    Human-Technology Interaction Lab, Department of Neurosurgery, University Medical Center Freiburg, Freiburg im Breisgau, Germany.
  • Carolin Heizmann
    Human-Technology Interaction Lab, Department of Neurosurgery, University Medical Center Freiburg, Freiburg im Breisgau, Germany.
  • Christophe Kunze
    Care & Technology Lab, Furtwangen University, Furtwangen, Germany.
  • Philipp Kellmeyer
    University of Freiburg, Germany.

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