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

Viewpoints and Perspectives (566) Machine Learning (1730) Decision Support for Health Professionals (1337) Artificial Intelligence (1720) Clinical Information and Decision Making (1645) Theoretical Frameworks and Concepts (295) Health Information Governance (25)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43682, first published .
Learning From Experience and Finding the Right Balance in the Governance of Artificial Intelligence and Digital Health Technologies

Learning From Experience and Finding the Right Balance in the Governance of Artificial Intelligence and Digital Health Technologies

Learning From Experience and Finding the Right Balance in the Governance of Artificial Intelligence and Digital Health Technologies

Authors of this article:

Stephen Gilbert1 Author Orcid Image ;   Stuart Anderson2 Author Orcid Image ;   Martin Daumer3 Author Orcid Image ;   Phoebe Li4 Author Orcid Image ;   Tom Melvin5 Author Orcid Image ;   Robin Williams2 Author Orcid Image
Article Authors Cited by (30) Tweetations (13) Metrics

Journals

  1. Farič N, Hinder S, Williams R, Ramaesh R, Bernabeu M, van Beek E, Cresswell K. Early experiences of integrating an artificial intelligence-based diagnostic decision support system into radiology settings: a qualitative study. Journal of the American Medical Informatics Association 2023;31(1):24 View
  2. Verbeke K, Jain C, Shpendi A, Borry P. Governance of research and product improvement studies in consumer mental health apps. Interviews with researchers and app developers. Accountability in Research 2025;32(3):341 View
  3. Gilbert S, Pimenta A, Stratton-Powell A, Welzel C, Melvin T. Continuous Improvement of Digital Health Applications Linked to Real-World Performance Monitoring: Safe Moving Targets?. Mayo Clinic Proceedings: Digital Health 2023;1(3):276 View
  4. Chakraborty I, Edirippulige S, Ilavarasan P. What is coming next in health technology startups? Some insights and practice guidelines. DIGITAL HEALTH 2023;9 View
  5. Welzel C, Cotte F, Wekenborg M, Vasey B, McCulloch P, Gilbert S. Holistic Human-Serving Digitization of Health Care Needs Integrated Automated System-Level Assessment Tools. Journal of Medical Internet Research 2023;25:e50158 View
  6. Williams R, Anderson S, Cresswell K, Kannelønning M, Mozaffar H, Yang X. Domesticating AI in medical diagnosis. Technology in Society 2024;76:102469 View
  7. Derraz B, Breda G, Kaempf C, Baenke F, Cotte F, Reiche K, Köhl U, Kather J, Eskenazy D, Gilbert S. New regulatory thinking is needed for AI-based personalised drug and cell therapies in precision oncology. npj Precision Oncology 2024;8(1) View
  8. Walter Y. Managing the race to the moon: Global policy and governance in Artificial Intelligence regulation—A contemporary overview and an analysis of socioeconomic consequences. Discover Artificial Intelligence 2024;4(1) View
  9. Bente B, Van Dongen A, Verdaasdonk R, van Gemert-Pijnen L. eHealth implementation in Europe: a scoping review on legal, ethical, financial, and technological aspects. Frontiers in Digital Health 2024;6 View
  10. Campion J, O'Connor D, Lahiff C. Human-artificial intelligence interaction in gastrointestinal endoscopy. World Journal of Gastrointestinal Endoscopy 2024;16(3):126 View
  11. Weimar S, Martjan R, Terzidis O. Conceptualizing the landscape of digital health entrepreneurship: a systematic review and research agenda. Management Review Quarterly 2025;75(2):1619 View
  12. Shuaib A. Transforming Healthcare with AI: Promises, Pitfalls, and Pathways Forward. International Journal of General Medicine 2024;Volume 17:1765 View
  13. Gilbert S. The EU passes the AI Act and its implications for digital medicine are unclear. npj Digital Medicine 2024;7(1) View
  14. Mathias R, McCulloch P, Chalkidou A, Gilbert S. Digital health technologies need regulation and reimbursement that enable flexible interactions and groupings. npj Digital Medicine 2024;7(1) View
  15. Brückner S, Brightwell C, Gilbert S. FDA launches health care at home initiative to drive equity in digital medical care. npj Digital Medicine 2024;7(1) View
  16. Freyer O, Wrona K, de Snoeck Q, Hofmann M, Melvin T, Stratton-Powell A, Wicks P, Parks A, Gilbert S. The regulatory status of health apps that employ gamification. Scientific Reports 2024;14(1) View
  17. Hu J, Li C, Ge Y, Yang J, Zhu S, He C. Mapping the Evolution of Digital Health Research: Bibliometric Overview of Research Hotspots, Trends, and Collaboration of Publications in JMIR (1999-2024). Journal of Medical Internet Research 2024;26:e58987 View
  18. Kleine A, Kokje E, Hummelsberger P, Lermer E, Schaffernak I, Gaube S. AI-enabled clinical decision support tools for mental healthcare: A product review. Artificial Intelligence in Medicine 2025;160:103052 View
  19. Chien S, Hu H, Cho H. Long-term monitoring of individuals with chronic obstructive pulmonary disease using digital health technology: a qualitative study (Preprint). Journal of Medical Internet Research 2024 View
  20. Gehder S, Goeldner M. Unpacking Performance Factors of Innovation Systems and Studying Germany’s Attempt to Foster the Role of the Patient Through a Market Access Pathway for Digital Health Applications (DiGAs): Exploratory Mixed Methods Study. Journal of Medical Internet Research 2025;27:e66356 View
  21. 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
  22. Gilbert S, Adler R, Holoyad T, Weicken E. Could transparent model cards with layered accessible information drive trust and safety in health AI?. npj Digital Medicine 2025;8(1) View
  23. Masood A, Ahmed U, Hassan S, Khan A, Mahmood A. Economic Value Creation of Artificial Intelligence in Supporting Variable Renewable Energy Resource Integration to Power Systems: A Systematic Review. Sustainability 2025;17(6):2599 View
  24. Mathias R, Schönfelder A, Welzel C, Gilbert S. Letter to the Editor on “From Concept to Clinic: Living Labs and Regulatory Sandboxes for Health System Digitalization and the Integration of Innovative Devices Into Clinical Workflows”. IEEE Journal of Translational Engineering in Health and Medicine 2025;13:214 View
  25. Pammi M, Shah P, Yang L, Hagan J, Aghaeepour N, Neu J. Digital twins, synthetic patient data, and in-silico trials: can they empower paediatric clinical trials?. The Lancet Digital Health 2025:100851 View
  26. Gilbert S, Mathias R, Schönfelder A, Wekenborg M, Steinigen-Fuchs J, Dillenseger A, Ziemssen T. A roadmap for safe, regulation-compliant Living Labs for AI and digital health development. Science Advances 2025;11(20) View

Books/Policy Documents

  1. Gilbert S. Digital Respiratory Healthcare. View
  2. Gupta B, Gaurav A, Chui K, Psannis K. Challenges in Large Language Model Development and AI Ethics. View
  3. Singh B, Kaunert C, Ravesangar K, Hammouch H, Raghav A. Data-Driven Governance Through AI, Digital Marketing, and the Privacy Interplay. View

Conference Proceedings

  1. Li P, Williams R, Gilbert S, Anderson S. Proceedings of the First International Symposium on Trustworthy Autonomous Systems. Regulating AI/ML-enabled Medical Devices in the UK View