The Clinical Education Researchers' Group has led a collaborative effort across the Cambridge ecosystem to put together guidance for academics seeking to pursue research projects at the intersection artificial intelligence (AI) and clinical education. It aims to create a supportive space in which innovative projects can be developed efficiently and with appropriate safeguards. Developed with contributors across clinical education, data science, AI, research ethics, medical education technology and public/patient representation, the guidance provides a structured framework for researchers designing studies involving AI.
The CERG-AI guidance is designed to enable, rather than restrict, research involving artificial intelligence in clinical education. Through clarifying proportionate expectations around ethics, governance, data protection and risk mitigation, the guidance aims to foster and environment in which high-quality AI research is easier to undertake.
Have a read of the guidance below and download the completable protocol checklist which can be appended to ethics submissions for clinical education studies involving AI. Please reach out to Dr Anmol Arora (Artificial Intelligence, Technology & Simulation Lead) if you have any questions or ideas for similar future collaborations.
We gratefully acknowledge the contributions of:
- Dr Anmol Arora, Artificial Intelligence, Technology & Simulation Lead, Public Health Education Group
- Dr Charlotte Tulinius, Medical Education Research Lead, School of Clinical Medicine
- Professor Paul Wilkinson, Clinical Dean, School of Clinical Medicine
- Professor Niels Peek, Professor of Data Science and Healthcare Improvement
- Dr Mark Lillicrap, Clinical Professor of Medical Education Practice
- Dr Vanessa Nash, Lead for Clinical Reasoning and Communication Skills, School of Clinical Medicine
- Dr Simon Duke, Medical Education Technology Lead, School of Clinical Medicine
- Professor Raj Jena, Professor of Artificial Intelligence in Radiation Oncology
- Stephanie Smith, Senior Tutor in Clinical Reasoning and Communication Skills (CRCS), Cambridge
University Hospitals Foundation Trust, School of Clinical Medicine
- Professor John Suckling, Chair, Cambridge Psychology Research Ethics Committee
- NIHR Cambridge BRC Public and Patient Representative Panel
If anyone has any journals they would like to discuss at a future meeting, they can send them to SubDeansPA@medschl.cam.ac.uk.
The meetings are hybrid in SR13, and the below zoom link is used for every meeting:
https://us02web.zoom.us/j/82025355633?pwd=UzZibzFRUVRUM0Q2Ykx6dXVwUWVPUT09
Meeting ID: 820 2535 5633
Passcode: 572868