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Privacy-Preserving Data Access and Collaboration for RWE Generation Across Locations: Advances, Opportunities, and Challenges
Session Chair(s)
Echo Wang, DrPH, MPH
Director, Outcome Research, Merck & Co., Inc, United States
Data privacy has been a long-standing challenge for RWD sharing and evidence generation across geography. This session will discuss privacy-preserving approaches that enable data access, sharing and collaboration in industry, academia and regulatory
Learning Objective : Identify privacy-preserving approaches for accessing and sharing real-world data (RWD); Discuss use cases leveraging various applications (e.g., federated learning networks, synthetic data) in industry, academia and regulatory for RWE generation; Examine policy and regulatory perspectives, methodological challenges and identify future development needs.
Speaker(s)
Rachele Hendricks-Sturrup, MA
Research Director, Real-World Evidence, Duke-Margolis Institute For Health Policy (DMI), United States
Global Privacy and Regulatory Considerations for Synthetic Data
Darren Toh, DRSC, FISPE
Professor, Harvard Medical School and Harvard Pilgrim Health Care Institute, United States
Real-World Applications of Distributed Data Analytic Solutions in Real-World Data Networks
Mehmet Burcu, PHD, MS, FISPE
Senior Director, Epidemiology, Merck & Co., Inc., United States
Privacy-Preserving Solutions for RWD Access and Collaboration: A Life Science Industry Perspective on Challenges & Opportunities