Digital Health Section Podcast- Royal Society of M

In this episode, we explore what informed consent actually looks like when AI is involved in patient care. Annabelle is joined by Anthony Searle a barrister specialising in medical law, and together they unpack how UK consent law is created, how it applies to a world of clinical decision support, autonomous algorithms, AI scribes, and black-box models. They discuss when AI may change the risk profile of care, whether patients need to be told when AI is being used, and the practical challenge of explaining risks and limitations when even developers may not fully understand how some systems reach their outputs. With no case law, formal NHS guidance, or professional consensus yet on AI-specific consent, this conversation focuses on what can be done now. Including practical principles clinicians, healthcare organisations, and healthtech companies can adopt today- from transparency with patients, to clinician training, to AI providers being clearer about the known, and unknown, limitations of their tools.

Cybersecurity in healthcare is not just an IT concern—it’s a clinical risk. As systems, data, and devices become increasingly connected, vulnerabilities can directly impact patient safety, from disrupted hospital operations to compromised data and malfunctioning medical devices. In this episode, Florence shares insights from her unique background across aerospace, cybersecurity, and healthcare, and introduces TIPPSS—Trust, Identity, Privacy, Protection, Safety and Security—a practical framework for managing cyber risk at a systems level. This conversation explores why we must move beyond securing individual technologies and start thinking holistically about protecting patients in an increasingly digital and interconnected healthcare system.

What does it really take for the NHS to become a better partner for healthtech? In this episode, Annabelle is joined by Liam, to unpack why so many innovations struggle to move from pilot to practice. Drawing on insights from his recent workshop with the NHS Innovation Accelerator. Full NIA report can be accessed here

Annabelle speaks with physician-scientist and Google research lead Dr. Jake Sunshine about bringing loss-of-pulse detection from research concept to a regulated feature on consumer wearables. Jake shares the journey from early laboratory experiments to real-world deployment, and how his team designed an evidence strategy where no clear playbook existed—combining simulation, opportunistic clinical validation, and early regulatory engagement. It’s a powerful reminder that innovative technologies often require equally innovative approaches to generating evidence.

In this episode, we explore the emerging phenomenon of AI-induced psychosis and the hidden risks of conversational AI. Dr Josh Au Yeung joins Annabelle to discuss how large language models — designed to engage and please — can unintentionally reinforce harmful beliefs, especially for vulnerable users. We dive into the technical reasons behind this, the societal implications, and the importance of monitoring, education, and safeguards to keep users safe.

YouTube is now one of the most influential sources of health information in the UK. In this RSM Podcast episode, Annabelle speaks with Vishaal Virani, a clinician leading YouTube’s UK health strategy, about how the platform approaches medical accuracy, tackles misinformation, and elevates trusted sources like the NHS. We explore how algorithms shape visibility, Youtube's “health shelves” and what they mean for credibility, and what healthcare can learn from digital creators about clarity and communication. If health journeys now begin on YouTube, we discuss: how do we safeguard medical truth at scale?

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 loop The concept of a “liability gap” in UK law, and how proving defect or causation in AI is difficult Practical steps for healthcare organizations: vendor due diligence, compliance roadmaps, audit trails, staff training, and insurance coverage Steps for AI developers to demonstrate due diligence, risk management, and adequate insurance Lessons 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.

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

In this episode Prof Pearse Keane- Consultant Ophthalmologist at Moorfields and Professor of Artificial Medical Intelligence at University College London discusses AI in Ophthalmology. Conversation topics include: The story of the Moorfields- Google Deep Mind collaboration and the use of AI to detect retinal diseases The birth of 'oculomics' as field: Using the eye as a window to the rest of the body The practical challenges of moving from code to clinic when it comes to Healthcare AI The potential for the UK to be a world leader in healthcare AI by linking NHS data with top universities Medical foundation models and their role in the future of healthcare

In this LIVE recording of the RSM Digital health podcast from the HETT conference guests Darrien Bold and Dr George Harston discuss the key enablers that supported AI for stroke to be deployed in 100% of NHS stroke units in England Discussion topics include:  The power of top down focus on specific areas of unmet need Efficiencies gained from centralising due diligence and governance processes Resourcing focussed on dedicated central teams, financing local procurement and enabling evaluation  Peer to peer learning and the need for shared learning networks  Guidelines and the importance of demonstrating evidence of value at a system level

This episode features a conversation with Dr Dillon Obika- Senior Clinical Specialist at Google about MedLM: Google's family of medical foundation models. Conversation topics include: - Why and how Google have been developing medical foundation models - How MedLM is currently being used in clinical practice - The challenge of evaluating model performance for clinical tasks - How Google are tackling clinical safety risks arising from hallucinations, omissions and bias

This episode features a conversation with Malte Gerhold- Director of Innovation and Improvement at the Health foundation. It discusses Implementation Insights from the research and policy undertaken by the Health Foundation on Health technology and AI. Discussion areas include: - Why we need to focus on funding change rather than the technology - The public discussions that are needed about trade-offs patients are willing to make when it comes to AI  - Why we need a problem driven approach healthtech adoption  - The importance of avoiding an AI aristocracy in the NHS so that everyone can benefit  Papers discussed: Priorities for an AI in health care strategy How would clinicians use time freed up by technology?