戻る Agenda
Session 8: Real-World Data in the Real World: How to Operationalize the Data Journey
Session Chair(s)
Jaclyn Bosco, MPH, FISPE
Vice President & General Manager, Global Head of Epidemiology & Scientific Strat, IQVIA, United States
The expectations from regulators and other decision-making stakeholders are increasing for the use of real-world data to generate valid and robust evidence. Putting theory into practice has evolved using new technology and methods to improve our operational execution of real-world study protocols. This session will provide practical applications for the data journey from abstraction, linkage, programming and reporting to increase the quality of real- world evidence generation.
Learning Objective : - Understand the benefits and risks of human-only, AI-only, and human-in-the-loop AI-enabled data abstraction
- Apply concepts from software engineering to avoid errors throughout the lifecycle of a study and ensure reproducibility
- Describe considerations and demonstrate data management steps for linking administrative claims data with clinical trial data using tokenization
Speaker(s)
Troy Astorino
CTO, PicnicHealth, United States
AI-Enabled Data Abstraction: Benefits and Risks for Data Curation
Nuvan Rathnayaka
Manager of Biostatistics, Target RWE, United States
Seeing Eye to Eye: Enhancing Inter-Team Communication for Reproducible Real World Evidence
Claudia Salinas, PHD
Senior Director, GPS Pharmacoepidemiology, Eli Lilly and Company, United States
Supplementing the Identification of Clinical Endpoints through Tokenization of Clinical Trial Participants