Checklist Approach to Developing and Implementing AI in Clinical Settings: Instrument Development Study
The Clinical AI Sociotechnical Framework checklist provides a comprehensive, structured approach to developing and implementing AI in clinical settings, addressing technical and social factors critical for adoption and success. This checklist is a practical tool that aligns AI development with real-world clinical needs, aiming to enhance patient outcomes and integrate smoothly into health care workflows.
Authors
- Megan Elizabeth Salwei (ORCID: https://orcid.org/0000-0002-5457-2501)
- Ayomide Owoyemi (ORCID: https://orcid.org/0000-0002-6446-1733)
- Andrew D. Boyd (ORCID: https://orcid.org/0000-0002-3459-9379)
- Joanne Osuchukwu (ORCID: https://orcid.org/0000-0001-6147-0012)
Institutions
- University of Illinois Chicago (US)
- Vanderbilt University Medical Center (US)
- University of Cincinnati Medical Center (US)
Publication Details
- Journal
- JMIRx Med
- Published
- 2025-02-20
- DOI
- https://doi.org/10.2196/65565
- Citations
- 7
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 4.58