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

#xHealthInformatics (49) Clinical Information and Decision Making (3758) Research Instruments, Questionnaires, and Tools (1213) Tools, Programs and Algorithms (589) Artificial Intelligence (4839) Ethical, Legal, and Social Issues in AI (211)

Published on in Vol 6 (2025)

Preprints (earlier versions) of this paper are available at https://www.medrxiv.org/content/10.1101/2024.08.08.24311701v1, first published .
Laptop and phone displaying "Clinical AI Sociotechnical Framework (CASF)

Checklist Approach to Developing and Implementing AI in Clinical Settings: Instrument Development Study

Checklist Approach to Developing and Implementing AI in Clinical Settings: Instrument Development Study

Authors of this article:

Ayomide Owoyemi1 Author Orcid Image ;   Joanne Osuchukwu2 Author Orcid Image ;   Megan E Salwei3 Author Orcid Image ;   Andrew Boyd1 Author Orcid Image
Article Authors Cited by (14) Tweetations (5) Metrics

Journals

  1. Owoyemi A, Osuchukwu J, Salwei M, Boyd A. Authors’ Response to Peer Reviews of “Checklist Approach to Developing and Implementing AI in Clinical Settings: Instrument Development Study”. JMIRx Med 2025;6:e69537 View
  2. . Peer Review for “Checklist Approach to Developing and Implementing AI in Clinical Settings: Instrument Development Study”. JMIRx Med 2025;6:e69870 View
  3. . Peer Review for “Checklist Approach to Developing and Implementing AI in Clinical Settings: Instrument Development Study”. JMIRx Med 2025;6:e69595 View
  4. Zaki S. Peer Review for “Checklist Approach to Developing and Implementing AI in Clinical Settings: Instrument Development Study”. JMIRx Med 2025;6:e70058 View
  5. Saripalli S. Peer Review for “Checklist Approach to Developing and Implementing AI in Clinical Settings: Instrument Development Study”. JMIRx Med 2025;6:e69594 View
  6. . Peer Review for “Checklist Approach to Developing and Implementing AI in Clinical Settings: Instrument Development Study”. JMIRx Med 2025;6:e69869 View
  7. Thompson K. Peer Review for “Checklist Approach to Developing and Implementing AI in Clinical Settings: Instrument Development Study”. JMIRx Med 2025;6:e69593 View
  8. Heslin S. Qualitative Framework for Evaluating Clinical Data Science Systems: Beyond Technical Validation. Healthcare Informatics Research 2026;32(2):196 View
  9. Olagoke A, Aidoo-Frimpong G, Adebayo C, Shaw J, Adegbile O, Owoyemi A, Qi Z, Okut H. Readiness for Generative AI in Rural Health Communication: Maturity Guidance for Agentic and Non-Agentic Applications. Systems 2026;14(7):739 View
  10. Yeow A, Cleland J, Soh C, Balete C. Sociotechnical Misalignments in Hospital AI System Implementation: Qualitative Case Study. Journal of Medical Internet Research 2026;28:e87534 View
  11. Miao S, Zhang Z, Bao C. Applications of Artificial Intelligence Technologies in Nursing for Noncommunicable Chronic Diseases: A Scoping Review. Journal of Nursing Management 2026;2026(1) View

Books/Policy Documents

  1. Byberg E. Artificial Intelligence in Medicine and Surgery - An Exploration of Current Trends, Potential Opportunities, and Evolving Threats, Volume 5 [Working Title]. View
  2. Nurfadhilah E, Aini L, Santosa A, Uliniansyah M, Gunarso G, Putra P, Pebiana S, Fajri R, Hidayati N, Prastowo R, Komariah K. Medical LLMs for Clinical Safety Assessment. View
  3. Klietsova N, Klietsov A, Pouransari S, Naji R. Harmonizing Experience and Value Creation in the AI-Driven World. View