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This episode explores software as a medical device regulation on both sides of the Atlantic. It features two incredible guests, Johan (ex-MHRA) and Brendan (ex-FDA) who share their unique perspectives from their respective experience at regulatory agencies.
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
Paper reference: https://jamanetwork.com/journals/jama/article-abstract/2816582
This episode features a conversation with Dr Molly Gilmartin- Health Tech investor at AlbionVC about healthtech market trends and trajectories.
Discussion topics include:
- Recent healthtech market investment trends
- Predicted trends in the next few years
- How to approach market entry
- Breaking down key buzzwords and phrases from product market fit to TAM, SAM, SOM, CAC and CTLV
- Challenges associated with business cases in healthcare and how these vary across regions
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:
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:
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
This episodes discusses the pragmatic realities of conducting post-market surveillance for AI medical devices. It features a conversation with Dr Dan Mullarkey, Medical Director at Skin Analytics, a company specialising in AI for skin cancer detection.
In our conversation you’ll hear Dan explain how Skin Analytics have tackled some difficult questions such as:
How do you decide the appropriate sensitivity levels of an AI device?
How you can ensure you’re given access to the ongoing outcome data you need from NHS organisations to conduct appropriate PMS
What are the challenges of dealing with real world data analysis compared to traditional research approaches?
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:
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
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