Event

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Open to all ISPOR Members and Non-members

Title: The Convergence of Synthetic Data and Self-Service Analytics to Create a New RWE Model

Tuesday, May 3, 2022
1:00PM EDT | 5:00PM UTC | 7:00PM CEST

 
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Description

Real-world evidence has advanced health research over the past two or three decades. 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. Synthetic data, novel data sets that are created to reproduce the statistical properties and interrelationships of the source data, facilitate access to and sharing of real-world evidence on a broader and deeper scale. Self-service analytics allows exploration of data by the primary researchers, without requiring technical intermediaries or specialized knowledge of database structure. Taken together, synthetic data and self-service analytics have the potential to produce major advances in real-world data exploration. 

Learning Objectives

• 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.  

Moderator:

Jon D. Morrow, MD, MBA, Senior VP/Medical Affairs & Informatics, MDClone, New York, NY USA

Speakers: 

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 

Sponsored by: MDClone

Please note: On the day of the scheduled webinar, the first 1000 registered participants will be accepted into the webinar. For those who are unable to attend, or would like to review the webinar at a later date, the full-length webinar recording will be made available at the ISPOR Educational Webinar Series webpage approximately 2 days after the scheduled Webinar.