Principles for the use of Generative AI in healthcare education
As AI tools become increasingly prevalent, the healthcare education sector must evolve to balance innovation with ethical considerations, ensuring that academic integrity and professional standards are upheld while fostering equitable access to AI-driven advancements. This report outlines eight high level principles for integrating AI into healthcare education, recognising its potential to enhance teaching, learning, and student support. Human oversight, interdisciplinary collaboration and a strong service user voice were central to the principles. A supplementary document has also been published, providing illustrative examples to demonstrate each of the principles and showing how AI can support innovative approaches to healthcare education. The aim of these publications is to add to the knowledge base and share sector learning.
Authors
- Laura Strumidlo
- Michael Rowe
- Ruth Paterson
- Sarah Illingworth
- Marc Griffiths
- Jayne Marshall
- Alison Gallagher
- Dao; id_orcid 0000-0001-5913-9291 Tunprasert
Publication Details
- Journal
- Edinburgh Napier Research Repository (Edinburgh Napier University)
- Published
- 2026-02-03
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00