Predictors of Health Care Practitioners' Intention to Use AI-Enabled Clinical Decision Support Systems: Meta-Analysis Based on the Unified Theory of Acceptance and Use of Technology.

Journal: Journal of medical Internet research
Published Date: Aug 5, 2024

Abstract

BACKGROUND: Artificial intelligence-enabled clinical decision support systems (AI-CDSSs) offer potential for improving health care outcomes, but their adoption among health care practitioners remains limited.

Authors

  • Julius Dingel
    Human-AI-Interaction Group, Center for Leadership and People Management, Ludwig Maximilian University of Munich, Munich, Germany.
  • Anne-Kathrin Kleine
    Center for Leadership and People Management, Department of Psychology, LMU Munich, Geschwister-Scholl-Platz 1, 80539, Munich, Germany.
  • Julia Cecil
    Department of Psychology, LMU Center for Leadership and People Management, LMU Munich, Munich, Germany. julia.cecil@psy.lmu.de.
  • Anna Leonie Sigl
    Department of Liberal Arts and Sciences, Technical University of Applied Sciences Augsburg, Augsburg, Germany.
  • Eva Lermer
    LMU Center for Leadership and People Management, Department of Psychology, LMU Munich, Munich, Germany.
  • Susanne Gaube
    UCL Global Business School for Health, University College London, London, United Kingdom.

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