Professional ethical guidance for AI use (PEG-AI) in healthcare: a rapid scoping review
Abstract Healthcare professionals (HCPs) and the patients they treat would benefit from professional ethical guidance for the use of AI (PEG-AI) in healthcare. A proactive approach, asserting unified and standardised guidance covering all HCPs in the United Kingdom, would assert clear and authoritative standards for HCP practice to abide by. This rapid scoping review seeks to aid this goal by answering the question: What ethical principles, rules, or claims that can guide the use of AI in professional healthcare practice can be identified within the literature?. The literature search resulted in the inclusion of 124 items and generated 9 overarching themes comprising 33 distinct normative claims about the ethical use of AI in healthcare. This review captures current published thinking about principles to govern AI use in clinical settings across a wide range of peer-reviewed literature, grey literature, and formal guidance. This provides a baseline on which to build unified guidance across the healthcare professions.
Authors
- Jonathan Ives (ORCID: https://orcid.org/0000-0002-5233-5000)
- Helen Smith (ORCID: https://orcid.org/0000-0002-2074-730X)
Institutions
- University of Bristol (GB)
- Universiti Teknologi MARA (MY)
Publication Details
- Journal
- AI and Ethics
- Published
- 2026-10-19
- DOI
- https://doi.org/10.1007/s43681-026-01443-2
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00