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

Digital Health Reviews (1724) Clinical Information and Decision Making (1915) Decision Support for Health Professionals (1539) Generative Language Models Including ChatGPT (708) AI Language Models in Health Care (202) Health Professionals' Training in eHealth, Digital Medicine, Medical Informatics (186) Clinical Informatics (1325) Artificial Intelligence (2129)

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

Authors of this article:

Julius Dingel1 Author Orcid Image ;   Anne-Kathrin Kleine1 Author Orcid Image ;   Julia Cecil1 Author Orcid Image ;   Anna Leonie Sigl2 Author Orcid Image ;   Eva Lermer1, 2 Author Orcid Image ;   Susanne Gaube3 Author Orcid Image
Article Authors Cited by (24) Tweetations Metrics

Journals

  1. Düvel J, Lampe D, Kirchner M, Elkenkamp S, Cimiano P, Düsing C, Marchi H, Schmiegel S, Fuchs C, Claßen S, Meier K, Borgstedt R, Rehberg S, Greiner W. An AI-Based Clinical Decision Support System for Antibiotic Therapy in Sepsis (KINBIOTICS): Use Case Analysis. JMIR Human Factors 2025;12:e66699 View
  2. Frenkenberg A, Hochman G. It’s Scary to Use It, It’s Scary to Refuse It: The Psychological Dimensions of AI Adoption—Anxiety, Motives, and Dependency. Systems 2025;13(2):82 View
  3. Sherrill A, Wiese C, Abdullah S, Arriaga R. Teaming with Artificial Intelligence to Learn and Sustain Psychotherapy Delivery Skills: Workplace, Ethical, and Research Implications. Journal of Technology in Behavioral Science 2025 View
  4. Baptista G, Pereira A. Understanding the Determinants of Adoption and Intention to Recommend AI Technology in Travel and Transportation. Tourism and Hospitality 2025;6(2):54 View
  5. Mohseni Ahangar R, Nouri S, Navari S, Mohammadi Kiani B, Poursiahbidi P. Attitudes of Healthcare Professionals Toward Artificial Intelligence in Clinical Decision-Making: A Cross-Sectional Survey in Iran. InfoScience Trends 2025;2(3):25 View
  6. Mo Y, Zhao F, Yuan L, Xing Q, Zhou Y, Wu Q, Li C, Lin J, Wu H, Deng S, Zhang M. Healthcare providers’ perceptions of artificial intelligence in diabetes care: A cross-sectional study in China. International Journal of Nursing Sciences 2025;12(3):218 View
  7. Hiraga T, Suzuki M, Sugihara T. Care Climate Impact on Technology Acceptance: Perceived Usefulness in the Healthcare Context. International Journal of Human–Computer Interaction 2025:1 View
  8. Bai X, Wang S, Zhao Y, Feng M, Ma W, Liu X. Application of AI Chatbot in Responding to Asynchronous Text-Based Messages From Patients With Cancer: Comparative Study. Journal of Medical Internet Research 2025;27:e67462 View
  9. McKenna S, Chong M, Poulsen A, Turner A, Gorban C, Crouse J, Capon W, Varidel M, Aji M, Scott E, Hickie I, Iorfino F. Weighing Costs and Benefits of Delay and the Acceptance of Two Decision Support Tools in Mental Health Care: Scoping Study Using Quantitative and Qualitative Data. JMIR Human Factors 2025;12:e71678 View
  10. Békés V, Bőthe B, Aafjes‐van Doorn K. Acceptance of Using Artificial Intelligence and Digital Technology for Mental Health Interventions: The Development and Initial Validation of the UTAUT‐AI‐DMHI. Clinical Psychology & Psychotherapy 2025;32(3) View
  11. Wagner J, Schwind A. Investigating psychotherapists’ attitudes towards artificial intelligence in psychotherapy. BMC Psychology 2025;13(1) View
  12. Dai Q, Li M, Yang M, Shi S, Wang Z, Liao J, Li Z, E W, Tao L, Tang Y. Attitudes, Perceptions, and Factors Influencing the Adoption of AI in Health Care Among Medical Staff: Nationwide Cross-Sectional Survey Study. Journal of Medical Internet Research 2025;27:e75343 View
  13. Chung S, Giuffrè M, Rajashekar N, Pu Y, Shin Y, Kresevic S, Chan C, Nakamura-Sakai S, You K, Saarinen T, Hsiao A, Wong A, Evans L, McCall T, Kizilcec R, Sekhon J, Laine L, Shung D. Usability and adoption in a randomized trial of GutGPT a GenAI tool for gastrointestinal bleeding. npj Digital Medicine 2025;8(1) View
  14. Dai Q, Li M, Shi S, Yang M, Wang Z, Liao J, Li Z, Liu Y, Deng J, Tao L. Structural equation modeling for influencing factors on behavioral intention to adopt medical AI among Chinese nurses: a nationwide cross-sectional study. BMC Nursing 2025;24(1) View
  15. Breitwieser M, Zirknitzer S, Poslusny K, Freude T, Scholsching J, Bodenschatz K, Wagner A, Hergan K, Schaffert M, Metzger R, Marko P. AI in Fracture Detection: A Cross-Disciplinary Analysis of Physician Acceptance Using the UTAUT Model. Diagnostics 2025;15(16):2117 View
  16. AlQaifi F, Tengilimoglu D. Factors affecting dentists’ intention to adopt artificial intelligence: an extension of the Unified Theory of Acceptance and Use of Technology (UTAUT) model. Journal of Health Organization and Management 2025:1 View
  17. Schaffernak I, Cecil J, Kleine A, Lermer E. Sociotechnical influences on the adoption and use of AI-enabled clinical decision support systems in ophthalmology: a theory-based interview study. BMC Health Services Research 2025;25(1) View
  18. Randle O. Understanding the Competency Levels of Art-Based Students in Utilising Technological Tools for Learning: A Case of a Digital Art Students. Studies in Learning and Teaching 2025;6(2):382 View
  19. Zhang J, Ma Y, Zhang H, Chen Y, Yu J. Predicting older adults smart healthcare adoption using an extended TAM. Scientific Reports 2025;15(1) View
  20. Rodić B, Labus A, Marković L. Designing a course for healthcare professionals: examining readiness for adopting emerging technologies into education and practice. Advances in Health Sciences Education 2025 View
  21. Hoang Y, Chen S, Chang C, Lin A, Nguyen T, Hung L, Hoang T, Ho D, Lin W, Yao C, Handayani D, Chang J. Trust Predicts Actual Use of AI Chatbot as a Virtual Nutrition Assistant Among Dietetic Students in Taiwan: A Path Analysis. Journal of Human Nutrition and Dietetics 2025;38(6) View
  22. Currle E, Haug S, Weber K. Akzeptanz des Einsatzes von Künstlicher Intelligenz im Anamneseprozess: Ergebnisse einer Bevölkerungsbefragung in Deutschland. Zeitschrift für Evidenz, Fortbildung und Qualität im Gesundheitswesen 2025;198-199:9 View
  23. K. P, Nayak S, Chavadi C, P. Pai Y. Determinants of AI-enabled customer experience across healthcare sectors: a decade in review. Cogent Business & Management 2025;12(1) View

Books/Policy Documents

  1. Sharna M, Gupta P, Shah J, Joshi S. Driving Global Health and Sustainable Development Goals With Smart Technology. View