Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57224, first published .
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

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

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

Julius Dingel   1 * , BSc, MSc ;   Anne-Kathrin Kleine   1 * , BSc, MSc, PhD ;   Julia Cecil   1 , BSc, MSc ;   Anna Leonie Sigl   2 ;   Eva Lermer   1, 2 , BSc, MSc, PhD ;   Susanne Gaube   3 , BSc, MSc, PhD

1 Human-AI-Interaction Group, Center for Leadership and People Management, Ludwig Maximilian University of Munich, Munich, Germany

2 Department of Liberal Arts and Sciences, Technical University of Applied Sciences Augsburg, Augsburg, Germany

3 Human Factors in Healthcare, Global Business School for Health, University College London, London, United Kingdom

*these authors contributed equally

Corresponding Author:

  • Anne-Kathrin Kleine, BSc, MSc, PhD
  • Human-AI-Interaction Group
  • Center for Leadership and People Management
  • Ludwig Maximilian University of Munich
  • Geschwister-Scholl-Platz 1
  • Munich, 80539
  • Germany
  • Phone: 49 8921809775
  • Email: anne-kathrin.kleine@psy.lmu.de