Hands-On AI Implementation for Real-World Evidence Studies
9:01 am - Tuesday 9th February 2027
This hands-on workshop moves beyond AI theory and puts attendees directly into the RWE study lifecycle. Working through practical use cases, participants will explore how AI can be applied across protocol development, statistical planning, data abstraction and evidence generation, while navigating the validation, confidentiality and regulatory challenges that come with implementation. By the end of the session, attendees will have practical prompts, tools and frameworks they can take back to their teams and apply to their own RWE programmes.
Attend this workshop to:
- Work through the RWE study lifecycle and identify where AI can meaningfully accelerate processes without compromising scientific rigour or regulatory requirements.
- Develop and test practical AI prompts and workflows for protocol development, statistical analysis planning and medical record abstraction.
- Build approaches for validating AI-generated outputs, establishing appropriate gold standards and maintaining human oversight before evidence reaches regulatory submission
