Using LLMs to Simplify Real-World Evidence Research

Separate registration required.

This course explores the transformative role of Al in advancing real-world evidence (RWE) research, covering essential applications and innovations.

We begin with an introduction to how Al is applied to medical records, detailing the foundational challenges that this technology seeks to address. The first hour dives into practical applications, demonstrating how Al can extract and analyze insights from complex, longitudinal medical records, as well as system issues such as data access and patient privacy that must be considered when working with this data. The second hour examines technical challenges and explores the intriguing complexities that come with deploying Al in healthcare settings. In the third hour, we focus on safety and validation systems, emphasizing the importance of rigorous standards to ensure accuracy and reliability in Al-driven RWE research. In the final hour, we discuss impactful results and emerging opportunities, highlighting how Al-driven advancements can propel RWE research and support meaningful developments in patient care and regulatory support.

PREREQUISITE: This course assumes that participants are familiar with the standing challenges and opportunities for RWE in research.