Digital Health Podcast- Royal Society of Medicine

As AI in healthcare becomes more autonomous, the question of who is legally responsible when it makes mistakes becomes urgent. In this episode, Annabelle speaks with Majid Hassan to explore the liability gap in the UK and the practical steps organizations and developers can take to protect themselves.Topics covered include:The difference between clinical negligence and product liability Why fully autonomous AI complicates accountability, especially when clinicians are taken out of the decision loopThe concept of a “liability gap” in UK law, and how proving defect or causation in AI is difficultPractical steps for healthcare organizations: vendor due diligence, compliance roadmaps, audit trails, staff training, and insurance coverageSteps for AI developers to demonstrate due diligence, risk management, and adequate insuranceLessons from the EU’s revised product liability directive and its potential implications for UK law

Autonomous AI is often described as a red line in healthcare — something that should only ever assist clinicians, never act independently. But is that really where we are today?This is the first episode in a series examining autonomous AI. Annabelle is joined by regulatory expert Dr Hugh Harvey to explore the foundations of autonomous AI in healthcare. Together, they unpack what autonomy actually means, where it already exists in clinical practice, and why current regulatory frameworks struggle to address systems that operate without a human in the loop.The conversation covers risk classification, clinical evidence, post-market surveillance, liability, hospital governance, and why regulatory approval alone is not enough to guarantee trust or adoption.

In this episode, we explore a startling reality: many NHS digital tools lack the mandatory clinical safety assurance required by law. Hosts Annabelle and guests Adrian and Youssof unpack this origins of clinical safety standards, why compliance has been so patchy, the myths and challenges around clinical safety, and what needs to change to protect patients as technology — and AI — scale across the NHS. They discuss how the clinical safety gap can be closed through visibility, accountability, professionalisation.Link to paper on adherence referenced in the episode: https://www.jmir.org/2025/1/e80076

Digital twins in healthcare are catalysing one of the most profound shifts in how we understand, predict and manage human health. In this conversation with Roger Highfield OBE and Prof Peter Coveney, co-authors of Virtual You, we explored the trajectory of digital twins, their technological foundations, and the hurdles that still stand between today’s partial implementations and tomorrow’s fully fledged virtual humans.

In this episode Mark Jenkins, co-founder or Tech-Enabled Care providers Oviva and Paloma Health, discusses:- What Tech-Enabled providers are and how the differ from conventional care services- Why some providers are succeeding whilst others have failed - How you measure and ensure quality of new providers - How commissioning needs to change to capture the best value for patients

AI agents in healthcare—promise or peril?In this episode of the RSM Digital Health Podcast, Annabelle Painter speaks with Dr. Keith Grimes about the rise of agentic AI—systems that can reason, plan, and act autonomously. The conversation explores early healthcare use cases and potential future applicaitons, clinical and safety risks, regulatory challenges, and how to get started experimenting with agentic AI. Listen now on your favourite podcast platform.

This episode features a conversation with Pam Garside -chair of Cambridge Angels - a network of UK business angels Discussion topics include:- How to approach and impress angel investors - How to become an angel investor- Pam’s top tips and lessons learned from her angel investing experience- Healthtech market insights and trends

This episode features a conversation with Dr Minal Bakhai - National Director for Primary Care and Community Transformation and Improvement at NHS England. She discusses how technology is enabling system change in General Practice through the Modern General Practice model. Drawing on her experience of product development, user research and design from working with the digital health industry she shares how she is using an evidence based test-and-learn approach to developing new ways of working in primary care and national standards to ensure that solutions are as useful and accessible as possible. Minal shares the most important enablers to shifting behaviour across General Practice, the potential of novel technologies like ambient voice transcription and what you need to consider if you want to introduce a new technology into your practice.

Who will be held to account legally for harm caused by AI use in Healthcare? This episode delves into this knotty question with Majid Hassan- a solicitor and parter at Capsticks LLP specialising in Healthcare litigation. The conversation covers: - Key legal concepts such as negligence and and product liability - How the litigation process would take place practically - Why you could be more at risk from NOT using AI than using it

In this episode focusses on the future of regulatory approvals for AI software medical devices in the UK (and EU). Featuring guest James Dewar- Co-founder of Scarlet a EU Notified body and UK approved body that specialises in certifying software medical devices.  Key discussion topics: The current regulatory position of the UK post-Brexit and the opportunities that this could present The practical impact of the EU AI act for medical device manufacturers within the EU.  What makes regulatory submissions uniquely challenging for AI devices Getting novel technologies such as Large Language model and other foundation models regulatory approval