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

Artificial Intelligence (1734) Clinical Information and Decision Making (1653) Decision Support for Health Professionals (1338)

Published on in Vol 24, No 1 (2022): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28916, first published .
General Practitioners’ Attitudes Toward Artificial Intelligence–Enabled Systems: Interview Study

General Practitioners’ Attitudes Toward Artificial Intelligence–Enabled Systems: Interview Study

General Practitioners’ Attitudes Toward Artificial Intelligence–Enabled Systems: Interview Study

Authors of this article:

Christoph Buck1, 2 Author Orcid Image ;   Eileen Doctor3 Author Orcid Image ;   Jasmin Hennrich3 Author Orcid Image ;   Jan Jöhnk4 Author Orcid Image ;   Torsten Eymann1, 4 Author Orcid Image
Article Authors Cited by (59) Tweetations (3) Metrics

Journals

  1. Rashid A. Yonder: Primary aldosteronism, artificial intelligence, irritable bowel syndrome, and financial toxicity. British Journal of General Practice 2022;72(724):534 View
  2. Fraile Navarro D, Kocaballi A, Dras M, Berkovsky S. Collaboration, not Confrontation: Understanding General Practitioners’ Attitudes Towards Natural Language and Text Automation in Clinical Practice. ACM Transactions on Computer-Human Interaction 2023;30(2):1 View
  3. Stanley A, Edwards T, Jaere M, Lex J, Jones G. An automated, web-based triage tool may optimise referral pathways in elective orthopaedic surgery: A proof-of-concept study. DIGITAL HEALTH 2023;9 View
  4. D’Hondt E, Ashby T, Chakroun I, Koninckx T, Wuyts R. Identifying and evaluating barriers for the implementation of machine learning in the intensive care unit. Communications Medicine 2022;2(1) View
  5. Chen M, Zhang B, Cai Z, Seery S, Gonzalez M, Ali N, Ren R, Qiao Y, Xue P, Jiang Y. Acceptance of clinical artificial intelligence among physicians and medical students: A systematic review with cross-sectional survey. Frontiers in Medicine 2022;9 View
  6. Frisinger A, Papachristou P. The voice of healthcare: introducing digital decision support systems into clinical practice - a qualitative study. BMC Primary Care 2023;24(1) View
  7. Thirunavukarasu A, Hassan R, Mahmood S, Sanghera R, Barzangi K, El Mukashfi M, Shah S. Trialling a Large Language Model (ChatGPT) in General Practice With the Applied Knowledge Test: Observational Study Demonstrating Opportunities and Limitations in Primary Care. JMIR Medical Education 2023;9:e46599 View
  8. Chen M, Zhang B, Cai Z, Seery S, Mendez M, Ali N, Ren R, Qiao Y, Xue P, Jiang Y. Physician and Medical Student Attitudes Toward Clinical Artificial Intelligence: A Systematic Review with Cross-Sectional Survey. SSRN Electronic Journal 2022 View
  9. Diel S, Doctor E, Reith R, Buck C, Eymann T. Examining supporting and constraining factors of physicians’ acceptance of telemedical online consultations: a survey study. BMC Health Services Research 2023;23(1) View
  10. Hamedani Z, Moradi M, Kalroozi F, Manafi Anari A, Jalalifar E, Ansari A, Aski B, Nezamzadeh M, Karim B. Evaluation of acceptance, attitude, and knowledge towards artificial intelligence and its application from the point of view of physicians and nurses: A provincial survey study in Iran: A cross‐sectional descriptive‐analytical study. Health Science Reports 2023;6(9) View
  11. Bergdahl J, Latikka R, Celuch M, Savolainen I, Soares Mantere E, Savela N, Oksanen A. Self-determination and attitudes toward artificial intelligence: Cross-national and longitudinal perspectives. Telematics and Informatics 2023;82:102013 View
  12. Hogg H, Al-Zubaidy M, Keane P, Hughes G, Beyer F, Maniatopoulos G. Evaluating the translation of implementation science to clinical artificial intelligence: a bibliometric study of qualitative research. Frontiers in Health Services 2023;3 View
  13. Wewetzer L, Held L, Goetz K, Steinhäuser J. Determinants of the implementation of artificial intelligence-based screening for diabetic retinopathy—a cross-sectional study with general practitioners in Germany. DIGITAL HEALTH 2023;9 View
  14. Kenny R, Fischhoff B, Davis A, Canfield C. Improving Social Bot Detection Through Aid and Training. Human Factors: The Journal of the Human Factors and Ergonomics Society 2024;66(10):2323 View
  15. Hummelsberger P, Koch T, Rauh S, Dorn J, Lermer E, Raue M, Hudecek M, Schicho A, Colak E, Ghassemi M, Gaube S. Insights on the Current State and Future Outlook of AI in Health Care: Expert Interview Study. JMIR AI 2023;2:e47353 View
  16. Chen Y, Wu Z, Wang P, Xie L, Yan M, Jiang M, Yang Z, Zheng J, Zhang J, Zhu J. Radiology Residents’ Perceptions of Artificial Intelligence: Nationwide Cross-Sectional Survey Study. Journal of Medical Internet Research 2023;25:e48249 View
  17. Helenason J, Ekström C, Falk M, Papachristou P. Exploring the feasibility of an artificial intelligence based clinical decision support system for cutaneous melanoma detection in primary care – a mixed method study. Scandinavian Journal of Primary Health Care 2024;42(1):51 View
  18. Kulkov I, Kulkova J, Leone D, Rohrbeck R, Menvielle L. Stand-alone or run together: artificial intelligence as an enabler for other technologies. International Journal of Entrepreneurial Behavior & Research 2024;30(8):2082 View
  19. Townsend B, Plant K, Hodge V, Ashaolu O, Calinescu R. Medical practitioner perspectives on AI in emergency triage. Frontiers in Digital Health 2023;5 View
  20. Stewart J, Freeman S, Eroglu E, Dumitrascu N, Lu J, Goudie A, Sprivulis P, Akhlaghi H, Tran V, Sanfilippo F, Celenza A, Than M, Fatovich D, Walker K, Dwivedi G. Attitudes towards artificial intelligence in emergency medicine. Emergency Medicine Australasia 2024;36(2):252 View
  21. Čartolovni A, Malešević A, Poslon L. Critical analysis of the AI impact on the patient–physician relationship: A multi-stakeholder qualitative study. DIGITAL HEALTH 2023;9 View
  22. Koebe P, Bohnet-Joschko S. What’s next in hospital digitization? A Delphi-based scenario study. European Journal of Futures Research 2023;11(1) View
  23. Evans R, Bryant L, Russell G, Absolom K. Trust and acceptability of data-driven clinical recommendations in everyday practice: A scoping review. International Journal of Medical Informatics 2024;183:105342 View
  24. Giddings R, Joseph A, Callender T, Janes S, van der Schaar M, Sheringham J, Navani N. Factors influencing clinician and patient interaction with machine learning-based risk prediction models: a systematic review. The Lancet Digital Health 2024;6(2):e131 View
  25. Allen M, Webb S, Mandvi A, Frieden M, Tai-Seale M, Kallenberg G. Navigating the doctor-patient-AI relationship - a mixed-methods study of physician attitudes toward artificial intelligence in primary care. BMC Primary Care 2024;25(1) View
  26. Gunathilaka N, Gooden T, Cooper J, Flanagan S, Marshall T, Haroon S, D’Elia A, Crowe F, Jackson T, Nirantharakumar K, Greenfield S. Perceptions on artificial intelligence-based decision-making for coexisting multiple long-term health conditions: protocol for a qualitative study with patients and healthcare professionals. BMJ Open 2024;14(2):e077156 View
  27. Gültekin M, Şahin M. The use of artificial intelligence in mental health services in Turkey: What do mental health professionals think?. Cyberpsychology: Journal of Psychosocial Research on Cyberspace 2024;18(1) View
  28. Fazakarley C, Breen M, Thompson B, Leeson P, Williamson V. Beliefs, experiences and concerns of using artificial intelligence in healthcare: A qualitative synthesis. DIGITAL HEALTH 2024;10 View
  29. Frisinger A, Papachristou P. Bridging the voice of healthcare to digital transformation in practice – a holistic approach. BMC Digital Health 2024;2(1) View
  30. Papachristou P, Söderholm M, Pallon J, Taloyan M, Polesie S, Paoli J, Anderson C, Falk M. Evaluation of an artificial intelligence-based decision support for the detection of cutaneous melanoma in primary care: a prospective real-life clinical trial. British Journal of Dermatology 2024;191(1):125 View
  31. Ling Kuo R, Freethy A, Smith J, Hill R, C J, Jerome D, Harriss E, Collins G, Tutton E, Furniss D. Stakeholder perspectives towards diagnostic artificial intelligence: a co-produced qualitative evidence synthesis. eClinicalMedicine 2024;71:102555 View
  32. Hennrich J, Ritz E, Hofmann P, Urbach N. Capturing artificial intelligence applications’ value proposition in healthcare – a qualitative research study. BMC Health Services Research 2024;24(1) View
  33. Yang Y, Ngai E, Wang L. Resistance to artificial intelligence in health care: Literature review, conceptual framework, and research agenda. Information & Management 2024;61(4):103961 View
  34. Diaz-Asper C, Chandler C, Elvevåg B, Thomas K. Cognitive Screening for Mild Cognitive Impairment: Clinician Perspectives on Current Practices and Future Directions. Journal of Alzheimer’s Disease 2024;99(3):869 View
  35. Benabed A, Bujor D, Manita Bulareanu A, Constantin Ene A. The Role of AI for Business and Companies’ Leadership and Internationalization in Globalization: A Background with Analysis. Proceedings of the International Conference on Business Excellence 2024;18(1):268 View
  36. Shawli L, Alsobhi M, Faisal Chevidikunnan M, Rosewilliam S, Basuodan R, Khan F. Physical therapists’ perceptions and attitudes towards artificial intelligence in healthcare and rehabilitation: A qualitative study. Musculoskeletal Science and Practice 2024;73:103152 View
  37. BAŞAR E, KES ERKUL A. Factors Affecting the Attitude of Medical Doctors in Türkiye towards Using Artificial Intelligence Applications in Healthcare Services. Bezmialem Science 2024:297 View
  38. Zybarth D, Inhestern L, Otto R, Bergelt C. Uncertainties of healthcare professionals and informal caregivers in rare diseases: A systematic review. Heliyon 2024;10(19):e38677 View
  39. Outhoff K, Trathen K. The GP’s guide to Artificial Intelligence (AI) in medicine. South African General Practitioner 2024;5(3):108 View
  40. Jones O, Calanzani N, Scott S, Matin R, Emery J, Walter F. User and Developer Views on Using AI Technologies to Facilitate the Early Detection of Skin Cancers in Primary Care Settings: Qualitative Semistructured Interview Study. JMIR Cancer 2025;11:e60653 View
  41. Wang L, Yin Y, Glampson B, Peach R, Barahona M, Delaney B, Mayer E. Transformer-based deep learning model for the diagnosis of suspected lung cancer in primary care based on electronic health record data. eBioMedicine 2024;110:105442 View
  42. Razai M, Al-bedaery R, Bowen L, Yahia R, Chandrasekaran L, Oakeshott P, Pongpirul K. Implementation challenges of artificial intelligence (AI) in primary care: Perspectives of general practitioners in London UK. PLOS ONE 2024;19(11):e0314196 View
  43. Alamäki A, Khan U, Kauttonen J, Schlögl S. An Experiment of AI-Based Assessment: Perspectives of Learning Preferences, Benefits, Intention, Technology Affinity, and Trust. Education Sciences 2024;14(12):1386 View
  44. Cawiding O, Lee S, Jo H, Kim S, Suh S, Joo E, Chung S, Kim J. SymScore: Machine learning accuracy meets transparency in a symbolic regression-based clinical score generator. Computers in Biology and Medicine 2025;185:109589 View
  45. Irgang L, Sestino A, Barth H, Holmén M. Healthcare workers' adoption of and satisfaction with artificial intelligence: The counterintuitive role of paradoxical tensions and paradoxical mindset. Technological Forecasting and Social Change 2025;212:123967 View
  46. Varol B. Artificial Intelligence Anxiety in Nursing Students. CIN: Computers, Informatics, Nursing 2025 View
  47. Huo W, Li Q, Liang B, Wang Y, Li X. When Healthcare Professionals Use AI: Exploring Work Well-Being Through Psychological Needs Satisfaction and Job Complexity. Behavioral Sciences 2025;15(1):88 View
  48. Sahoo R, Sahoo K, Negi S, Baliarsingh S, Panda B, Pati S. Health professionals' perspectives on the use of Artificial Intelligence in healthcare: A systematic review. Patient Education and Counseling 2025;134:108680 View
  49. Masawi T, Miller E, Rees D, Thomas R. Clinical perspectives on AI integration: assessing readiness and training needs among healthcare practitioners. Journal of Decision Systems 2025;34(1) View
  50. Stroud A, Curtis S, Weir I, Stout J, Barry B, Bobo W, Athreya A, Sharp R. Physician Perspectives on the Potential Benefits and Risks of Applying Artificial Intelligence in Psychiatric Medicine: Qualitative Study. JMIR Mental Health 2025;12:e64414 View
  51. Kowalewska E. Physicians and AI in healthcare: insights from a mixed-methods study in Poland on adoption and challenges. Frontiers in Digital Health 2025;7 View
  52. Forte C, Grey E, Jessiman P, McLeod H, Salway R, Sillero-Rejon C, Harkes R, Stokes P, De Vocht F, Campbell R, Jago R. Exploring service users’ and healthcare professionals’ experience of digital and face-to-face Health Checks in England: a qualitative study. BMJ Open 2025;15(3):e090492 View
  53. Jørgensen N, Merrild C, Jensen M, Moeslund T, Kidholm K, Thomsen J. The Perceptions of Potential Prerequisites for Artificial Intelligence in Danish General Practice: Vignette-Based Interview Study Among General Practitioners. JMIR Medical Informatics 2025;13:e63895 View
  54. Zhou J, Zhang J, Wan R, Cui X, Liu Q, Guo H, Shi X, Fu B, Meng J, Yue B, Zhang Y, Zhang Z. Integrating AI into clinical education: evaluating general practice trainees’ proficiency in distinguishing AI-generated hallucinations and impacting factors. BMC Medical Education 2025;25(1) View
  55. Chuang L, Huang S. AI-Supported Healthcare Technology Resistance and Behavioral Intention: A Serial Mediation Empirical Study on the JD-R Model and Employee Engagement. Systems 2025;13(4):268 View
  56. Doctor E, Hennrich J, Eymann T, Buck C. Understanding Antecedents of Nurses' and Physicians' Workaround Behavior Regarding Hospital Information Systems: Qualitative Interview Study (Preprint). Journal of Medical Internet Research 2023 View
  57. Abdulazeem H, Meckawy R, Schwarz S, Novillo-Ortiz D, Klug S. Knowledge, attitude, and practice of primary care physicians toward clinical AI-assisted digital health technologies: Systematic review and meta-analysis. International Journal of Medical Informatics 2025;201:105945 View
  58. Henzler D, Schmidt S, Koçar A, Herdegen S, Lindinger G, Maris M, Bak M, Willems D, Tan H, Lauerer M, Nagel E, Hindricks G, Dagres N, Konopka M. Healthcare professionals’ perspectives on artificial intelligence in patient care: a systematic review of hindering and facilitating factors on different levels. BMC Health Services Research 2025;25(1) View

Books/Policy Documents

  1. Buijs E, Maggioni E. Artificial Intelligence. View