Webinar: Platform Approaches to Regional AI Implementation and Monitoring

Webinar: Platform Approaches to Regional AI Implementation and Monitoring AI funding gets the tool through the door. But who is responsible for safety six months later? With round two of the AI Diagnostic Fund now open and the government accepting all 44 recommendations of the National Commission into the Regulation of AI in Healthcare, trusts, imaging networks and ICBs are under pressure to deploy AI quickly and safely. In this webinar, Haris Shuaib, Founder & CEO at Newton’s Tree, chairs a practical discussion with: Dr Ed Middleton, Director of Strategy at the MHRA Dr Claire Morris, Head of Innovation, Adoption and Collaboration at Cambridge University Hospitals Professor David Lowe, Clinical Director of Innovation at the University of Glasgow, Deputy Director of CERSI-AI, and Emergency Medicine Consultant at Queen Elizabeth University Hospital In this session, they cover: What regional bodies should do (and not try to do) when deploying AI, and why point solutions won’t transform pathways What the Commission’s recommendations will mean in practice, from new guidance to staged authorisations and predetermined change control plans Who pays for monitoring and guardrails, and why every provider shouldn’t have to build them alone How to make good adoption decisions under central funding pressure, and why shorter contracts with break points help What rapid evaluation should measure, including real-world performance drop-off and local disease prevalence Why CE-marked products can differ by around 30% on the same local data, why one deployment saw clinician-AI concordance fall from 90% to 25% in a month, and why one paediatric fracture tool showed a 22% performance gap within its paediatric cohort Whether clinician-AI disagreement is a safety signal, and how an “AI discrepancy” flag could help How Yellow Card reporting, a regional monitoring platform and the Health Data Research Service could support post-market surveillance What to cost in a regional business case beyond the licence: infrastructure, evaluation, change management and clinical leadership –––––––––––––––––––––––––––––– ⏱️ TIMESTAMPS 00:01 Welcome and scene setting 04:53 What should regions think about before deploying AI? 14:12 What the Commission’s 44 recommendations mean in practice 18:31 Who funds monitoring and guardrails? 22:00 The MHRA’s AVT clarification and supporting your region 25:50 Choosing the right AI under central funding pressure 29:07 Rapid evaluation: how fast, and what to measure 31:03 After go-live: vendor variance, concordance and equity 33:17 Is clinician-AI agreement a safety signal? 36:12 National vs. local models of adoption 39:28 A regional monitoring platform and the HDRS proposal 40:56 Post-market surveillance and Yellow Cards 44:01 Buying decisions when AI moves this fast 46:51 Yellow Card poll results 47:42 Sentinel sites and national monitoring 49:19 What to cost in a regional AI business case 52:28 Closing summary: people, platforms and processes –––––––––––––––––––––––––––––– This webinar was originally aired live on 19 November, 2026. 📚 RESOURCES & LINKS Read our full white paper to learn how Newton’s Tree is redefining the future of care - with AI that is evaluated, monitored, and governed → https://app-eu1.hubspotdocuments.com/... Free newsletter (monthly insights, case studies) → https://www.newtonstree.ai?utm_source... Book a meeting → https://www.newtonstree.ai/contact?ut... Website → https://www.newtonstree.ai?utm_source... Email our team → info@newtonstree.com –––––––––––––––––––––––––––––– 🤝 CONNECT WITH US LinkedIn: /newtons-tree-ai Twitter / X: https://x.com/newtonstreeai