Post-market Surveillance of AI medical devices. With Dr Dan Mullarkey- Medical Director at Skin Analytics
Mar 19, 2024
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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.
Implementing appropriate sensitivity levels for AI medical devices is crucial for post-market surveillance.
Accessing real-world outcome data from NHS organizations poses a challenge for monitoring AI device performance.
Deep dives
Postmarket Surveillance Challenges and Methods at Skin Analytics
Implementing postmarket surveillance for AI medical devices involves challenges such as ensuring appropriate sensitivity levels, accessing necessary outcome data from NHS organizations, and analyzing real-world data compared to traditional research studies. Skin Analytics uses its Derm product for skin cancer detection, focusing on identifying common skin cancers and benign conditions to support skin cancer pathways. Deployed in over 17 NHS sites, Skin Analytics conducts AI triage using Dermoscopic images in a secondary-care, post-referral model.
Monitoring Device Performance and Real-World Evidence Protocol
Skin Analytics employs a real-world evidence protocol to evaluate patient outcomes, gather final histological data, and assess performance metrics of its AI medical device in real-world settings. By engaging clinical partners to monitor patient journeys and conducting root cause analyses on false negatives, Skin Analytics ensures ongoing performance evaluation and continuous improvement. Quarterly reports and collaborative efforts with NHS trusts help enhance device performance monitoring.
Regulatory Compliance and Post-Market Surveillance Importance
Postmarket surveillance is essential for monitoring AI medical device safety and performance post-deployment. Skin Analytics emphasizes the need for continuous data collection and analysis to validate device performance in real-world settings. Compliance with ISO standards and ongoing monitoring are crucial in identifying safety issues and optimizing device performance for better patient outcomes.
Future Directions and Global Expansion of Skin Analytics
Skin Analytics aims to expand its AI medical device applications within the UK and internationally, seeking regulatory approvals in the EU and the US. By increasing partnerships with NHS organizations and pursuing opportunities like artificial intelligence pathways funding, Skin Analytics plans to enhance its presence in skin cancer detection pathways and contribute to improved patient care worldwide.
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?
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