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

Non-randomized Protocols and Methods (ehealth) (671) Adoption and Change Management of eHealth Systems (894) Theoretical Frameworks and Concepts (338) New Technologies (108) Artificial Intelligence (2127)

Published on in Vol 12 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50216, first published .
A Framework to Guide Implementation of AI in Health Care: Protocol for a Cocreation Research Project

A Framework to Guide Implementation of AI in Health Care: Protocol for a Cocreation Research Project

A Framework to Guide Implementation of AI in Health Care: Protocol for a Cocreation Research Project

Authors of this article:

Per Nilsen1, 2 Author Orcid Image ;   Petra Svedberg1 Author Orcid Image ;   Margit Neher1 Author Orcid Image ;   Monika Nair1 Author Orcid Image ;   Ingrid Larsson1 Author Orcid Image ;   Lena Petersson1 Author Orcid Image ;   Jens Nygren1 Author Orcid Image
Article Authors Cited by (17) Tweetations (6) Metrics

Journals

  1. Villarreal-Zegarra D, Reategui-Rivera C, García-Serna J, Quispe-Callo G, Lázaro-Cruz G, Centeno-Terrazas G, Galvez-Arevalo R, Escobar-Agreda S, Dominguez-Rodriguez A, Finkelstein J. Self-Administered Interventions Based on Natural Language Processing Models for Reducing Depressive and Anxiety Symptoms: Systematic Review and Meta-Analysis. JMIR Mental Health 2024;11:e59560 View
  2. Isavand P, Aghamiri S, Amin R. Applications of Multimodal Artificial Intelligence in Non-Hodgkin Lymphoma B Cells. Biomedicines 2024;12(8):1753 View
  3. 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
  4. Stogiannos N, O'Regan T, Scurr E, Litosseliti L, Pogose M, Harvey H, Kumar A, Malik R, Barnes A, McEntee M, Malamateniou C. Lessons on AI implementation from senior clinical practitioners: An exploratory qualitative study in medical imaging and radiotherapy in the UK. Journal of Medical Imaging and Radiation Sciences 2025;56(1):101797 View
  5. Preti L, Ardito V, Compagni A, Petracca F, Cappellaro G. Implementation of Machine Learning Applications in Health Care Organizations: Systematic Review of Empirical Studies. Journal of Medical Internet Research 2024;26:e55897 View
  6. Kohnke S, Zaugg T. Artificial Intelligence: An Untapped Opportunity for Equity and Access in STEM Education. Education Sciences 2025;15(1):68 View
  7. Abbasian Ardakani A, Mohammadi A, Yeong C, Ng W, Ng A, Tangaraju K, Behestani S, Mirza‐Aghazadeh‐Attari M, Suresh R, Acharya U. Diagnosis of Thyroid Nodule Malignancy Using Peritumoral Region and Artificial Intelligence. Journal of Ultrasound in Medicine 2025;44(6):1059 View
  8. Nair M, Nygren J, Nilsen P, Gama F, Neher M, Larsson I, Svedberg P. Critical activities for successful implementation and adoption of AI in healthcare: towards a process framework for healthcare organizations. Frontiers in Digital Health 2025;7 View
  9. Khattak M, Kierkegaard P, McGregor A, Perry D. Bridging innovation to implementation in artificial intelligence fracture detection. The Bone & Joint Journal 2025;107-B(6):582 View
  10. Lyu S, Craig S, O'Reilly G, Taniar D. The development and use of data warehousing in clinical settings: a scoping review. Frontiers in Digital Health 2025;7 View
  11. Xu Q, Chen X. Calibration and Prospective Validation Needed for AI‐Assisted Thyroid Nodule Diagnosis. Journal of Ultrasound in Medicine 2025;44(11):2179 View
  12. Baloescu C, Bailitz J, Gottlieb M. User Trust in Artificial Intelligence–Guided Lung Ultrasound—Reply. JAMA Cardiology 2025;10(9):968 View
  13. Tian S, Lam A, Sung J, Goh W. A six-tiered framework for evaluating AI models from repeatability to replaceability. Trends in Biotechnology 2025 View

Books/Policy Documents

  1. Kučević E, Grünewald F, Schanz N. HCI International 2024 – Late Breaking Papers. View
  2. Segal Y, Hod A. Artificial Intelligence in Medicine and Surgery - An Exploration of Current Trends, Potential Opportunities, and Evolving Threats, Volume 3 [Working Title]. View
  3. Martí-Noguera J. Governing Digital Mental Health. View
  4. Chinnathambi S, Maity S, Abhi S. Computational Intelligence in Data Science. View