Principles for the use of generative AI in healthcare education

  • Ruth Paterson
  • , Dao Tunprasert
  • , Laura Strumidlo
  • , Michael Rowe
  • , Marc Griffiths
  • , Alison Gallagher
  • , Jayne Marshall
  • , Sarah Illingworth

Research output: Book/ReportCommissioned report

Abstract

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.
Original languageEnglish
Place of PublicationLondon
PublisherCouncil of Deans of Health
Number of pages12
Publication statusPublished - 3 Feb 2026

Keywords

  • Artificial Intelligence
  • Innovation

Fingerprint

Dive into the research topics of 'Principles for the use of generative AI in healthcare education'. Together they form a unique fingerprint.

Cite this