Accessibility settings

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

Formative Evaluation of Digital Health Interventions (5370) Clinical Information and Decision Making (3889) New Methods (1869) Decision Support for Health Professionals (2345) Safety and Error Prevention in Health (333) Design of Processes and Workflows (301) Artificial Intelligence (5020) Theme Issue: The Role of Trustworthy Artificial Intelligence in Healthcare (21)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/64266, first published .
Doctor examining medical scans on laptop and large display

Perceived Trust and Professional Identity Threat in AI-Based Clinical Decision Support Systems: Scenario-Based Experimental Study on AI Process Design Features

Perceived Trust and Professional Identity Threat in AI-Based Clinical Decision Support Systems: Scenario-Based Experimental Study on AI Process Design Features

Authors of this article:

Sophia Ackerhans1 Author Orcid Image ;   Kai Wehkamp2 Author Orcid Image ;   Rainer Petzina2 Author Orcid Image ;   Daniel Dumitrescu3 Author Orcid Image ;   Carsten Schultz1 Author Orcid Image
Article Authors Cited by (34) Tweetations Metrics

Journals

  1. Trang T, Thang P, Vo T. Moderating the AI Revolution: Perceived threat and generative AI implementation in Vietnamese hospitals. Computers in Human Behavior Reports 2025;19:100774 View
  2. Jin X, Shen H, Zhou P, Yang J, Yang S, Ni H, Yu Y, Zhang Z. Research Progress on Sepsis Diagnosis and Monitoring Based on Omics Technologies: A Review. Diagnostics 2025;15(22):2887 View
  3. Wu Y, Zhang D, Jiang J, Zheng L, Zhou Z, Zhang Z, Nouri S. Multi-omics profiling and AI-driven clinically deployable risk models in MGUS and smoldering myeloma. Clinical and Experimental Medicine 2025;26(1) View
  4. Țîru L, Gherheș V, Stoicov I, Stanici M. Not Ready for AI? Exploring Teachers’ Negative Attitudes Toward Artificial Intelligence. Societies 2025;15(12):337 View
  5. Imran M, Lee Y. Multimodal Vision–Language Models in Medical Imaging: A Survey of Retrieval, Interpretability, and Trust. IEEE Access 2026;14:19511 View
  6. Persson D, Andersen T. The user experiences of AI-based clinical decision support systems and implications for usage over time: A scoping review. DIGITAL HEALTH 2026;12 View
  7. Marjanović M, Latinović L. Artificial intelligence in medical diagnostics: A critical narrative review of risks, responsibility, and the epistemological limits of large language models. Serbian Journal of Engineering Management 2026;11(sp.iss.):76 View
  8. King-Okoye M, Fuller H, Tan K, Marlow N, Fleuriot J, Tzatzakis C, Kanodia S, Odoh K, Dubbala K, Alvarez J. Explainable and reproducible AI: culturally responsive AI for health equity in minoritized groups. Frontiers in Digital Health 2026;7 View
  9. Bold B, Tokuda B, Kashif M, Fadzli F, Wee N, Kanwal U, Nguyễn T, Wah N. Radiologists’ perceived value and readiness for artificial intelligence in value-based radiology: a multicountry survey. Japanese Journal of Radiology 2026;44(7):1299 View
  10. van Zyl L. The unintended negative consequences of artificial intelligence use for psychologists. Frontiers in Psychology 2026;17 View
  11. Grosser J, Sauerbach J, Borgstedt R, Rehberg S, Düvel J. Investigating the Potential Effects of Medical AI Systems on Physician Autonomy: Pretest of a Semistructured Qualitative Interview Guide. JMIR Formative Research 2026;10:e93035 View
  12. Nguyen Q, Ha T, Mai T. AI-Assisted Formative Assessment in Clinical Education: From Algorithms to Agency. JMIR Medical Education 2026;12:e93710 View
  13. Qazi S, Khan I, Waleed M, Ahmad A, Qarni O, Abdullah M, Jehan A, Khattak A, Aamir A, Mazhar M. Artificial intelligence readiness in Pakistan's medical and dental education: training-phase decline, a knowledge–practice paradox, and the role of digital determinants of health. Medical Education Online 2026;31(1) View
  14. Alanazi M. From Triage to Intensive Care: A Qualitative Study of Nurses' Experiences with AI‐Enabled Decision Support. Nursing in Critical Care 2026;31(4) View
  15. Li X, Jing C, Gong Z, Zhang J, Zhang S. Stakeholder experience with artificial intelligence in healthcare: a bibliometric study of satisfaction, trust, acceptance, and patient engagement. Frontiers in Digital Health 2026;8 View
  16. Liu Y. The Design-Driven Innovation Path of Human-Centered Artificial Intelligence in the Field of Healthcare: Theory, Practice, and Future Prospects. Healthcare 2026;14(14):2031 View
  17. Sucharitrak C. Artificial Intelligence and Clinician Burnout in the United States: A Narrative Review. Cureus 2026 View
  18. Adewojo A, Nallah B, Adefila E, Fadare C. Librarians as architects: Roles in the age of generative artificial intelligence. IFLA Journal 2026 View
  19. Wu D, Vera V, Vuruma S, Aust L, Yaddanapalli B, Zhang J, Markanti R, Zhang J, Li X, Weissman S, Olatosi B. Advancing Human-Centered AI in Clinical Decision Support: Sociocognitive Human-in-the-Loop Study in HIV Care. Journal of Medical Internet Research 2026;28:e91620 View
  20. Ver Berne J, Jacobs R. When Useful Clinical AI Exceeds Meaningful Oversight. Journal of Medical Systems 2026;50(1) View
  21. Qu Y, Morehouse J, Lu S, Ahmad T. How AI induces professional identity threats: A survey study with public relations professionals. Public Relations Review 2026;52(4):102745 View
  22. Toprak K, Ercakir M, Gobel P. Navigating the AI era in dietetics: a qualitative analysis of professional identity, ethical concerns, and future projections in Türkiye. BMC Health Services Research 2026;26(1) View
  23. Park Y, Han Y, Kim H, Ahn S, Kron F, Lee J. Role-Differentiated AI Competencies and Curriculum Implications for Health Professions Education: Qualitative Study. JMIR Medical Education 2026;12:e97608 View
  24. Salah M, Abdelfattah F, Al Araimi A, BaLashwar K, Al Halbusi H, Al Sayed Noor A. When judgment moves: agentic artificial intelligence and the relocation of human discretion in frontline care. Frontiers in Human Dynamics 2026;8 View
  25. Beyari H. Navigating the Human Side of AI: A Socio-Technical Model of Employee Attitudes Toward Algorithmic Recruitment. Behavioral Sciences 2026;16(9):1708 View
  26. Chiu W, Luong C, Chi H. A process model of psychological acceptance in technology-based service innovation: a symbolic interactionism perspective. Frontiers in Psychology 2026;17 View
  27. Ranjan S, Joshith V. The Socio-Technical Architecture of Teacher Education (STATE): decoupling agency from infrastructure in digital teacher education. European Journal of Teacher Education 2026:1 View
  28. Moldt J, Festl-Wietek T, Nieselt K, Zabel S, Claassen M, Wagner S, Keim U, Herrmann-Werner A. AI Perceptions, Professional Identity, and AI-Supported Clinical Decisions Among Medical Students and Clinicians: Cross-Sectional Survey and Quasi-Randomized Vignette Study. JMIR Medical Education 2026;12:e104151 View
  29. Pye S, Hazell C, Smith K, Bergin A. Identity Threat as a Barrier to NHS Psychology Professionals’ Adoption of Generative AI: A Technology Acceptance Model Study. Behavioral Sciences 2026;16(10):1827 View
  30. Frank C, Stevens A, Hsu Y, Gao G, Streiff M, Engineer L. Transparency features alone are insufficient for trust calibration in artificial intelligence diagnostic support. Journal of the American Medical Informatics Association 2026 View

Books/Policy Documents

  1. Anderle L, Abidi A, Ünlü S, Steidle O, Janßen T, Petzold T. Chatbots and Human-Centered AI. View
  2. Dave P, Barresi E. Inspiring Transformation Through AI-Powered Whole-Person Leadership. View
  3. Oyenuga M, Oladele T. Encyclopedia of Modern Artificial Intelligence. View

Conference Proceedings

  1. Akre V, Hajri L, Raman R. 2025 International Conference on INnovations in Intelligent SysTems and Applications (INISTA). XAI-MRI: A Multilayered Framework for Explainable AI driven Medical Risk Identification View