Take health research to the next level with a new real-world evidence model

This webinar is on-demand and can be viewed at your convenience.

Real-world evidence has advanced health research over the past two to three decades. But the challenges of procuring sufficient, high-quality real-world data, of unlocking the knowledge contained in the data, and of sharing information without compromising patient privacy are ever-present.

Achieving major advances in real-world data exploration requires the successful convergence of synthetic data and self-service analytics. During this discussion, experts will discuss the value of fostering a new RWE model.

Key learning points:

Understand the concept of synthetic data, how synthetic data are generated, and how their use facilitates access to real-world, patient-level data without compromising patient privacy
Understand how self-service analytics tools facilitate research by bringing primary researchers closer to the point of innovation, shortening the time to innovation and discovery
Understand how the combination of synthetic data and self-service analytics synergistically creates a new model for real-world evidence

Presenters

Jon D. Morrow, MD, MBA

Senior VP/Medical Affairs & Informatics, MDClone, New York, NY USA

Noa Zamstein, PhD

Director of MDClone Research and Data Science Center, MDClone, Beer Sheva, Israel

Henrik Schou, MSc

Vice President, Global Head Evidence Generation at Vifor Pharma, Zurich, Switzerland

Richard Willke, PhD

Chief Science Officer, ISPOR, Lawrenceville, NJ USA

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