#16 Dev&Doc x Rewired - LLMs, Clinical foundation models and automating administrative tasks (live)

Dev and Doc: AI For Healthcare Podcast

In this special episode we share a live recording of our live podcast episode at the Rewired UK conference, where NHS, industry and policy markers unite. We discuss current LLMs from a technical and practical perspective. Dive into how to build Foundational models for the National health service and our experiences. We were also privileged to be joined by head of digital at Cambridge University Hospital NHS trust, Dr. Wai Keong Wong on how to evaluate AI products and discussions on automating administrative tasks for clinicians with ambient clinical documentation. 👨🏻‍⚕️Doc - Dr. Joshua Au Yeung - https://www.linkedin.com/in/dr-joshua-auyeung/ 🤖Dev - Zeljko Kraljevic https://twitter.com/zeljkokr The podcast 🎙️ 🔊Spotify: https://podcasters.spotify.com/pod/show/devanddoc 📙Substack: https://aiforhealthcare.substack.com/ Hey! If you are enjoying our conversations, reach out, share your thoughts and journey with us. Don't forget to subscribe whilst you're here :) 🎞️ Editor- Dragan Kraljević https://www.instagram.com/dragan_kraljevic/ 🎨Brand design and art direction - Ana Grigorovici https://www.behance.net/anagrigorovici027d 00:00 intro 02:05 AI vs doctors - are language models ready to replace doctors? 05:22 the tranformer models and attention 08:51 human labour for reinforcement learning 11:00 building the NHS LLM, key concepts 13:55 foresight GPT - predicting the next clinical event in a patient timeline. 16:29 is text enough? 17:19 £3.8B investment into NHS digitisation and admin automation - ambient clinical documentation 20:14 how do you evaluate AI products for the NHS? 26:24 how do you vet the tech companies and future proof your purchase? 27:23 do clinicians need more digital health education? 28:41 transparency of AI models and benchmarks 31:30 question - EHR data created by AI leads to homogenisation and errors 34:03 question - training on structured vs unstructured EHR data 38:06 question - LLMs as a brain. How do we give it a body? 41:05 framework for ai deployment