Claim OwnershipDigital Health Section Podcast- Royal Society of Medicine
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© RSM Digital Health Council
Description
Discover how digital technologies are transforming healthcare through interviews with leading digital health experts. Presented by Dr Annabelle Painter
All views expressed in this podcast are of the speakers themselves and not of the RSM.
Find out more about the RSM digital council:
rsm.ac/dhsectionpodcast
Follow us: #RSMdigihealth
All views expressed in this podcast are of the speakers themselves and not of the RSM.
Find out more about the RSM digital council:
rsm.ac/dhsectionpodcast
Follow us: #RSMdigihealth
38 Episodes
Reverse
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 a 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?
In this episode Dr Kath Halliday- President of the Royal College of Radiologists discusses how AI is impacting radiology.
Discussion points include:
- The AI technologies that are being used in NHS radiology derpatments
- Challenges faced with deploying AI in the NHS
- How AI is likely to change the nature of radiologists' work
- The use of autonomous AI in radiology
Links from the Royal College of Radiologists:
- AI Registry
- AI education course
- AI Code of Conduct
This special edition of the RSM digital health podcast is a joint episode with the hosts of the Dev & Doc podcast focussed on Explainable AI in healthcare.
Key discussion topics:
- The confusion around what explainable AI is
- The question of whether it is really necessary in healthcare
- Exploring different explainability techniques
- The future of explainability and what’s needed to get there
If you like this episode then I'd love to hear your comments and and do check out the Dev & Doc podcast where doctors and engineers unpick healthcare AI related topics
This episode features a conversation with Professor David Lowe- Clinical Director for Innovation at the Digital Health Validation Lab, University of Glasgow and A&E consultant.
Key conversation topics:
- The story of the Digital Health Validation lab
- What validation of Digital Health Technologies means in practice and how it varies depending on the maturity of the technology
- Evaluation challenges and what could be done to overcome them from a policy and governance perspective
- Hints and tips to early stage companies when it comes to evaluation
Digital Health Validation Lab website
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.
Discussion points include:
The key differences between the EU, UK and US approaches to regulation
- How these differences impact market entry strategy
- Approaches to regulating AI including the EU AI Act and what it means for AI medical device manufacturers
- International regulatory harmonization efforts - Key Dos and Don’ts when interacting with regulators
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
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:
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
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:
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 Stephen Carter delivers a masterclass in all things IP for Healthtech and AI
This includes
How to decide whether to apply for a patent
Why you need to be wary of copyright when using open-source code
The myth that you cannot patent AI products.
Key pitfalls that companies and organisations of all sizes fall into when thinking about IP
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
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