Digital Health Section Podcast- Royal Society of Medicine

In this episode Dr Chris Kelly- Clinical Research Scientist at Google discusses key barriers to the widespread adoption of AI in healthcare. In 2019 Chris wrote an article titled ‘Key challenges for delivering clinical impact with artificial intelligence’ and the episode covers how Chris might approach this article if he was writing it again 5 years on. Chris breaks down the barriers into 6 buckets: - People factors & change management - Machine learning and technical factors - Safety and monitoring of AI once deployed - Governance - Regulation - Business challenges Mammography AI paper discussed during the episode

In this episode, patent attorney and IP consultant Stephen Carter discusses intellectual property for Healthtech and AI. He covers topics such as deciding whether to apply for a patent, caution with copyright and open-source code, debunking the myth that AI products cannot be patented, and common IP pitfalls. The podcast also explores the different types of intellectual property rights, the negative right of patents, copyright and open-source code relationships, default ownership and protection positions of IP, and patenting health technology and AI algorithms.

In this episode Haris Shuaib- Head of Clinical Scientific Computing at Guy's and St Thomas'​ NHS Foundation Trust shares his vision of what is needed to build an AI-ready NHS. Haris shares the story of how he created the first-ever NHS specialist medical AI team and discusses the unique value that individuals with a dual skillset of clinical and technical expertise bring to the NHS, allowing it to become: - an intelligent AI customer - a learning healthcare system - a developer of in-house algorithms to solve problems that wouldn't be tackled by commercial AI companies. Haris also shares the importance of 3 key factors in the success of AI at scale: People, Policy and Platforms

This episode features a conversation with Sara Nelson- Programme Director at DigitalHealth.London focussing on how to pitch healthtech to the NHS. Sara shares pitching tips based on her experience working within a NHS healthtech accelerator and as deputy CNIO at NHSX Topics include: - Navigating the NHS procurement landscape - Identifying budget holders- why the CEO may not be the best person to pitch to - Why being too flexible can put buyers off - The power of effective follow up - The risk of offering a free pilot

This episode features a conversation with Dr. Bob Wachter, a prominent physician and academic known for his significant contributions to the field of healthcare and technology. Dr Wachter has authored several influential books including the brilliant "The Digital Doctor: Hope, Hype, and Harm at the Dawn of Medicine's Computer Age" (2015) In 2016, Dr. Robert Wachter was commissioned by the UK government to deliver Wachter Review aimed to assess the state of health information technology (IT) in the National Health Service (NHS) and provide recommendations for its improvement.  As we mark seven years since the Wachter Review, Dr Wachter joins me to reflect on the progress made, future potential, and address the persistent challenges facing the NHS. The conversation explores the journey that the NHS has come on since 2016 including the widespread introduction of electronic health records, patient health record access and development of NHS CCIOs. It also explores the future of AI enabled healthcare, the challenge of the so-called productivity paradox and whether AI is likely to result tin evolution or revolution of care delivery.

This episode features a conversation with Jeanette Kusel- Director for Scientific advice at NICE the national institute of health and care excellence, and addresses the role that NICE  has to play with regards to digital health technologies Discussion topics include: The difference between the evaluation required for regulatory approval (CE/UKCA marking) and NICE approval Innovative new approaches to assessing healthtech innovations including: The NICE META tool Early value assessments The AI and digital regulations service NICE Evidence Standards Framework What is involved in a NICE approval process for digital health technologies  Common mistakes that companies make when evaluating their products and how these can be avoided Links: META tool: https://meta.nice.org.uk/ Early value assessments: https://www.nice.org.uk/about/what-we-do/eva-for-medtech AI and digital regulations service: https://transform.england.nhs.uk/ai-lab/ai-lab-programmes/regulating-the-ai-ecosystem/the-ai-and-digital-regulations-service/ NICE evidence standards framework: https://www.nice.org.uk/about/what-we-do/our-programmes/evidence-standards-framework-for-digital-health-technologies NICE Real World Evidence framework: https://www.nice.org.uk/corporate/ecd9/chapter/overview

Max Jaderberg, Director of Machine learning at Isomorphic labs, shares the Isomorphic approach to drug discovery in one of their first interviews as they emerge from shadow mode. In 2020 Google DeepMind made history when they took on the grand challenge of biology- the protein folding problem- with their algorithm AlphaFold2.  Their success prompted the creation of a sister company, Isomorphic Labs. Our conversation topics include:   - The concept of “Digital Biology”- How AI can be used model the biological world  - Bottlenecks in the drug discovery process and how AI could circumvent them - How AI may unlock 'undraggable targets' to find treatments for incurable diseases  Links: Isomorphic labs website: https://www.isomorphiclabs.com/ AlphaMissence: https://www.deepmind.com/blog/alphamissense-catalogue-of-genetic-mutations-to-help-pinpoint-the-cause-of-diseases

This episode focuses on the topic of AI education and workforce transformation with Dr Hatim Abdulhussein, National Clinical Lead for AI and Digital Workforce at NHS England Key discussion topics include: - The NHS England strategy for AI education for the healthcare workforce - 5 healthcare workforce AI archetypes: Shapers, Drivers, Creators, Embedders and Users - The role of workforce transformation from AI MDT teams to the professionalisation of the digital and data professionals and the creation of new leadership roles in technology and AI.  Developing healthcare workers' confidence in AI: https://digital-transformation.hee.nhs.uk/building-a-digital-workforce/dart-ed/horizon-scanning/developing-healthcare-workers-confidence-in-ai Artificial Intelligence (AI) and Digital Healthcare Technologies Capability framework: https://digital-transformation.hee.nhs.uk/building-a-digital-workforce/dart-ed/horizon-scanning/ai-and-digital-healthcare-technologies?

This episode features a conversation with Eric Topol, a renowned cardiologist scientist, and author. He is the founder and director of the Scripps Research Translational Institute where he is a professor of Molecular Medicine . He is editor-in-chief of Medscape and He has published three bestselling books including the highly influential  Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again .  In 2019 he led the Topol review a report focussed on planning for the NHS future workforce, integrating genomics, digital medicine, and artificial intelligence. Our discussion topics include:  How LLMs could make doctors more empathetic The potential for ‘keyboard liberation’ using LLMs to repair the damage that EHRs have inflicted on the doctor-patient relationship The ‘silicon-vallydation’ issue and the need for high quality evidence generation for AI Hallucinations and the ‘frequently wrong never in doubt’ issue

This episode features a discussion with Mohammad AI-Ubaydli- CEO and Founder of Patients Know Best on personal health records. Key discussion points include - Do patients really know best? - How personal health records are driving clinicians to rethink the way they write their clinical notes - Changes that are needed within clinical training to better prepare the workforce for treating patients using personal health records