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