What is AI week?
The Council is pleased to host its first-ever AI Week in response to our Members’ expressed need for a forum to discuss and share best practice when incorporating AI into healthcare education.
Throughout the week, we heard from educators about the use of AI in Fitness to Practice Assessments; strategies to remove bias from AI; and case studies demonstrating best practice in incorporating AI into learning and teaching.
Members of the Council’s Innovation and Pedagogy SPG have been developing Principles for Generative AI in healthcare education, taking a multi-professional and collaborative approach to anticipating the opportunities and challenges presented by AI. The Principles, to be published in Spring 2026, aim to offer broad guidance to educators, with the hope that they will continually evolve as both technology and pedagogic practice develop. Members of the Innovation and Pedagogy SPG will reflect on the development of the Principles, and the reactions of regulators, services users, and care givers.
Get in touch
If you want to know more about this, get in touch!
AI Week Content:
Sharing the research methodology for developing Principles of Gen AI in healthcare education
In this first AI week podcast, we explore the research methodology for developing the Principles of Generative AI in healthcare. Speakers Ruth Paterson, Marc Griffiths and Dao Tunprasert outline the collaborative and multi-professional nature of the process, as well as how feedback from various stakeholder groups has been critical in the development of the principles.
Navigating the complexity of AI use in fitness to practice processes
In an era where generative AI is reshaping healthcare education, this blog delves into the complex and high-stakes world of using AI in fitness to practice (FtP) processes in nursing. It explores how students, academic staff, panel members, and clinical educators might leverage AI tools to enhance communication, decision-making, and fairness, while also unpacking the significant ethical, professional, and procedural challenges that come with it.
The Pedagogy of AI: Implications for healthcare education
Following the Council’s 2025 Digital Summit which took place in January, this collaborative report with Elsevier explores the evolving role of AI-assisted technologies in healthcare education. The report examines the limitations and risks associated with emerging AI tools, and considers how educators can be supported to navigate these challenges while embracing AI’s potential for curriculum innovation. It offers insights into the preparedness of academic institutions and highlights key considerations for integrating AI responsibly and effectively into teaching and learning.
The Human-First Approach to AI in Healthcare Education: conversations with service users and care givers
Dr Laura Strumidlo, Associate Professor and Head of the Oxford School of Nursing and Midwifery at Oxford Brookes University, has been part of the Council of Deans of Health’s working group to develop Principles of Generative AI for healthcare education. In this blog she shares the perspectives of the OBU Health Science and Technology Faculty Service User and Caregiver Group on this work.
How do we remove bias from generative AI?
This podcast critically explores bias in AI, particularly within the context of healthcare education. It unpacks what “bias” means in AI systems and highlights the real-world consequences of these biases, from reinforcing harmful stereotypes to perpetuating inequities in student outcomes and clinical training. The discussion raises urgent questions about responsibility and how students and staff can be empowered to critically engage with these technologies.
The Adaptability of a Values-Based Reflective Practice Model with Generative AI: A Case Study
In this blog, Danny Clegg, Associate Professor of Digital Pedagogy & Inclusive Practice at BPP University, explores how a values-based reflective practice model in healthcare education was adapted for use with Generative AI, making reflection more inclusive, emotionally safe, and empowering for diverse learners.
AI Events & Watch Again
-
Event
AI Week: Generative AI Principles in Practice: Case Studies
This webinar looks at some examples of our members embracing generative AI within healthcare education and considering where some of the limitations lie with…
Blogs & briefings
AI Week: The Adaptability of a Values-Based Reflective Practice Model with Generative AI: A Case Study
In this blog, Danny Clegg, Associate Professor of Digital Pedagogy & Inclusive Practice at BPP University, explores how…
AI Week: The Human-First Approach to AI in Healthcare Education
Dr Laura Strumidlo, Associate Professor and Head of the Oxford School of Nursing and Midwifery at Oxford Brookes…
AI Week: Navigating the complexity of AI use in fitness to practice processes
In this blog, Michael Rowe, Associate Professor in Digital Innovation at the University of Lincoln, delves into the…
Blog: Looking Ahead to Establish Principles of Generative AI in Healthcare Education
The CoDH Innovation and Pedagogy group is leading the change in developing high-level principles for integrating AI into…