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

Proposals (non-eHealth) (53) Artificial Intelligence (1721) Adoption and Change Management of eHealth Systems (797) Non-randomized Protocols and Methods (ehealth) (611) Organizational Issues (181) Theoretical Frameworks and Concepts (295) eHealth Infrastructures (392)

Published on in Vol 11, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34920, first published .
Toward Successful Implementation of Artificial Intelligence in Health Care Practice: Protocol for a Research Program

Toward Successful Implementation of Artificial Intelligence in Health Care Practice: Protocol for a Research Program

Toward Successful Implementation of Artificial Intelligence in Health Care Practice: Protocol for a Research Program

Authors of this article:

Petra Svedberg1 Author Orcid Image ;   Julie Reed1 Author Orcid Image ;   Per Nilsen1, 2 Author Orcid Image ;   James Barlow1, 3 Author Orcid Image ;   Carl Macrae1, 4 Author Orcid Image ;   Jens Nygren1 Author Orcid Image
Article Authors Cited by (22) Tweetations (14) Metrics

Journals

  1. Gosak L, Martinović K, Lorber M, Stiglic G. Artificial intelligence based prediction models for individuals at risk of multiple diabetic complications: A systematic review of the literature. Journal of Nursing Management 2022;30(8):3765 View
  2. Lyons P, Chen V, Sekhar T, McEvoy C, Kollef M, Govindan R, Westervelt P, Vranas K, Maddox T, Geng E, Payne P, Politi M. Clinician Perspectives on Barriers and Enablers to Implementing an Inpatient Oncology Early Warning System: A Mixed-Methods Study. JCO Clinical Cancer Informatics 2023;(7) View
  3. Sharma M, Savage C, Nair M, Larsson I, Svedberg P, Nygren J. Artificial Intelligence Applications in Health Care Practice: Scoping Review. Journal of Medical Internet Research 2022;24(10):e40238 View
  4. Carroll A, Christakis D. Call for Papers on Artificial Intelligence Applied to Pediatric Care. JAMA Pediatrics 2023;177(9):884 View
  5. Nair M, Andersson J, Nygren J, Lundgren L. Barriers and Enablers for Implementation of an Artificial Intelligence–Based Decision Support Tool to Reduce the Risk of Readmission of Patients With Heart Failure: Stakeholder Interviews. JMIR Formative Research 2023;7:e47335 View
  6. Neher M, Petersson L, Nygren J, Svedberg P, Larsson I, Nilsen P. Innovation in healthcare: leadership perceptions about the innovation characteristics of artificial intelligence—a qualitative interview study with healthcare leaders in Sweden. Implementation Science Communications 2023;4(1) View
  7. Nilsen P, Svedberg P, Neher M, Nair M, Larsson I, Petersson L, Nygren J. A Framework to Guide Implementation of AI in Health Care: Protocol for a Cocreation Research Project. JMIR Research Protocols 2023;12:e50216 View
  8. Steerling E, Siira E, Nilsen P, Svedberg P, Nygren J. Implementing AI in healthcare—the relevance of trust: a scoping review. Frontiers in Health Services 2023;3 View
  9. Macrae C. Managing risk and resilience in autonomous and intelligent systems: Exploring safety in the development, deployment, and use of artificial intelligence in healthcare. Risk Analysis 2025;45(4):910 View
  10. Beimel D, Albagli-Kim S. Enhancing Medical Decision Making: A Semantic Technology-Based Framework for Efficient Diagnosis Inference. Mathematics 2024;12(4):502 View
  11. Bratan T, Schneider D, Funer F, Heyen N, Klausen A, Liedtke W, Lipprandt M, Salloch S, Langanke M. Unterstützung ärztlicher und pflegerischer Tätigkeit durch KI: Handlungsempfehlungen für eine verantwortbare Gestaltung und Nutzung. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2024;67(9):1039 View
  12. Siira E, Tyskbo D, Nygren J. Healthcare leaders’ experiences of implementing artificial intelligence for medical history-taking and triage in Swedish primary care: an interview study. BMC Primary Care 2024;25(1) View
  13. Kamel Rahimi A, Pienaar O, Ghadimi M, Canfell O, Pole J, Shrapnel S, van der Vegt A, Sullivan C. Implementing AI in Hospitals to Achieve a Learning Health System: Systematic Review of Current Enablers and Barriers. Journal of Medical Internet Research 2024;26:e49655 View
  14. Nair M, Svedberg P, Larsson I, Nygren J, Six S. A comprehensive overview of barriers and strategies for AI implementation in healthcare: Mixed-method design. PLOS ONE 2024;19(8):e0305949 View
  15. Lundsten S, Jacobsson M, Rydén P, Mattsson L, Lindgren L, Schirle L. Using AI to Predict Patients’ Length of Stay: PACU Staff’s Needs and Expectations for Developing and Implementing an AI System. Journal of Nursing Management 2024;2024(1) View
  16. Siira E, Johansson H, Nygren J. Mapping and Summarizing the Research on AI Systems for Automating Medical History Taking and Triage: Scoping Review. Journal of Medical Internet Research 2025;27:e53741 View
  17. Kohnke S, Zaugg T. Artificial Intelligence: An Untapped Opportunity for Equity and Access in STEM Education. Education Sciences 2025;15(1):68 View
  18. Buser M, van der Rest J, Wijnen M, de Krijger R, van der Steeg A, van den Heuvel‐Eibrink M, Reismann M, Veldhoen S, Pio L, Markel M. Deep Learning and Multidisciplinary Imaging in Pediatric Surgical Oncology: A Scoping Review. Cancer Medicine 2025;14(2) View
  19. Reed J, Svedberg P, Nygren J. Enhancing the Innovation Ecosystem: Overcoming Challenges to Introducing Information-Driven Technologies in Health Care. Journal of Medical Internet Research 2025;27:e56836 View
  20. Sartore G, Ragazzi E, Pegoraro F, Pagno M, Lapolla A, Piarulli F. Artificial Intelligence Algorithm to Screen for Diabetic Neuropathy: A Pilot Study. Biomedicines 2025;13(5):1075 View

Books/Policy Documents

  1. Mohanty A, Mohapatra A, Mohanty S. Lightweight Digital Trust Architectures in the Internet of Medical Things (IoMT). View
  2. Ismail G, Aldous S. Convergence of AI, Education, and Business for Sustainability. View