Back to Agenda
Session 3: Design Scalable RWD Infrastructure: Integrate Multimodal Data and Standards for Efficient RWE Generation
Session Chair(s)
Alicia Gilsenan, PhD, MS, RPh, FISPE
Vice President, Epidemiology, RTI Health Solutions, United States
This session addresses key challenges in generating real-world evidence (RWE) across fragmented data ecosystems and evolving regulatory expectations. Presentations highlight innovative approaches, including federated multimodal data networks, analysis-driven abstraction for CDISC transformation, and transportability frameworks for applying evidence across populations. Together, these approaches provide practical solutions to improve scalability, efficiency, and traceability of RWE generation. Attendees will gain actionable strategies to design interoperable data infrastructures and align with regulatory and global evidence needs.
Learning Objective : At the conclusion of this session, participants should be able to: - Explain how federated multi-modality networks integrate heterogeneous RWD sources across regions to support RWE generation
- Evaluate how an analysis-driven data abstraction framework can make CDISC transformation of RWD more efficient, scalable, and traceable.
- Apply transportability frameworks to assess the use of nonlocal data in regulatory and HTA decision-making contexts
Speaker(s)
A Federated Multi-Modality, Multi-Regional Network for Cardiometabolic RWE
Eva Oakkar, PhD, MS
Head of Secondary Database Studies, Biostatistics, IQVIA, United States
Analysis Driven Abstraction of RWD for CDISC: Improving Efficiency, Scalability, and Traceability
Zachariah Peterson, MPH
Senior Manager, Biostatistical Programming, Amgen, United States
Transportability for Real-World Evidence Generation: Synthesizing the Recent Flood of Frameworks
Patrick Arena, PhD, MPH
Senior Director, Science, Datavant, United States
Have an account?