On this episode Dr James Ray National clinical advisor for urgent and emergency care at NHS England shares how digital technologies are being introduced to improve care delivery in 111 and the challenges faced and lessons learned along the way He also shared his vision for how a single digital front door could help to simplify and standardise triage and provide a potential solution to the NHS navigation problem.

This episode focusses on AI & the Limits of Clinician Vigilance and features of conversation with Prof Julia Adler-Mistein, Professor at the University of California. Conversation topics include  Lessons form the aviation and automobile industry Should AI be checking clinicians work rather than the other way around? Potential solutions to improve clinicial vigilance ability   The importance of considering behaviour science and systems design thinking Is there an ethical risk of demanding superhuman performance from AI tools? Paper reference: https://jamanetwork.com/journals/jama/article-abstract/2816582

Dr. Molly Gilmartin, a Health Tech investor at AlbionVC, shares her expertise on the evolving health tech landscape. She discusses recent investment trends and how the market is shifting towards AI and holistic care solutions. Gilmartin provides insights on approaching market entry for early-stage companies and the importance of understanding unit economics in health tech ventures. She also contrasts the NHS's digital-first strategy for chronic care with the US system, emphasizing patient engagement and technology's role in enhancing care.

This episode features a conversation about Investment in Healthcare with Dr John Lee Allen who is Managing Partner at RYSE Asset Management.   John has a background as a physician scientist, entrepreneur, and investor and his ability to bridge the gap between academia and industry has made him an influential figure in the fields of science, technology, and investment.   John sits on company boards, is an NHS Board Governor, Grant Assessor at Innovate UK, Expert-In-Residence at Imperial College London, NHS Clinical Entrepreneur Fellow & Mentor, RSM Digital Health Council member and a Fellow at the University of Cambridge. Conversation topics include: Different types of healthtech funders How to find your ‘investor tribe’ Building relationships with the 3 'hums'- humanity, humility and humour The AIDA framework for building an effective investor pitch   Effective fund raising strategies 

This episode features a conversation with Jess Morley- Health Data Academic at Yale Digital Ethics Centre, discussing ethical implications of digital health transformation. Jess shares a framework for thinking about some key areas where technology is likely to impact on healthcare and some difficult questions we are going to need to face as a healthcare system.  Conversation topics include questions about trust, accountability, equity and the changing doctor patient relationship.

This episode features a conversation about bias in healthcare AI models with Dr Xiao Liu- Senior Clinician Scientist in AI & Digital Health, University Hospitals Birmingham NHS Foundation Trust. Discussion topics include: How does AI bias arise?  How can we tell whether AI algorithms are biased? Who should be held accountable for bias in AI systems? Is AI the solution for AI bias? Papers referenced during the discussion: Ethical Machine Learning in Healthcare: https://pubmed.ncbi.nlm.nih.gov/34396058/ Standing together recommendations: https://www.datadiversity.org/about

Exploring post-market surveillance of AI medical devices with Dr. Dan Mullarkey from Skin Analytics. Topics include setting sensitivity levels for AI devices, accessing outcome data from NHS, challenges of real-world data analysis, deployment of Skin Analytics' technology in NHS, adherence to regulations like ISO 3485, monitoring patient pathways in dermatology, collaboration with experts, and future expansion plans in healthcare industry.

This episode features a conversation focussed on copilots to assist clinicians with Dr Dom Pimenta who is a cardiologist and CEO of Tortus the creators of OSLER, an AI agent for clinicians  Conversation topics include: Clinical liability for AI-augmented decision making How can we protect clinicians from the impact of AI misdirection and automation bias The practical realities of clinically evaluating LLM tools The surprising use of clinical communication skills in LLM prompt engineering

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.