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Real-World Data Networks: Automating & Reducing the Burden of Clinical Studies and Registries

By OM1
Webcast

Webcasts

Mon, Aug 8, 2022 1:00pm EST | 10:00am PST | 7:00pm CEST Real-world data networks are changing how data is collected and leveraged for evidence generation. A tech-enabled platform approach can significantly automate and reduce the burden of clinical study programs and registries, improve site and patient engagement and lower costs.

Register Free: https://www.pharmexec.com/pe_w/automating-reducing

Event Overview:

Real-world data networks are changing how data is collected and leveraged for evidence generation. A tech-enabled platform approach can significantly automate and reduce the burden of clinical study programs and registries, improve site and patient engagement and lower costs.
Join Dr. Richard Gliklich, CEO of OM1, as he discusses this new research model, its benefits and special considerations, including:

  • Automating data collection with specialized treatment centers and KOL sites
  • The value of reusability and meeting multi-stakeholder requirements, including regulatory
  • Enhancing understanding of unmet needs and patient experience
  • Accelerating product differentiation with RWE

Key Learning Objectives:

  • Discuss opportunities for and benefits of using real-world data networks for conducting clinical research
  • Identify applications for meeting multi-stakeholder requirements
  • Explore use cases for generating evidence and demonstrating differentiation

Who Should Attend:

Life sciences senior managers and executives with responsibilities in conducting clinical studies and registries and in roles such as R&D, clinical operations, clinical affairs, medical affairs, real-world data, real-world evidence, strategy and innovation functions.

Speakers

Dr. Richard Gliklich, MD
Chief Executive Officer
OM1

Dr. Richard Gliklich, MD is the CEO of OM1, Inc. Previously, he was founder and CEO of Outcome, which he led from inception through its acquisition.
Dr. Gliklich is well known in the areas of registries, outcomes and analytics. He is senior editor of the landmark publication by the U.S. Agency for Healthcare Research and Quality (AHRQ) handbook "Registries for Evaluating Patient Outcomes: A User's Guide” and the PI for the Outcomes Measures Framework, which focuses on standardization of outcomes measurement. He has led several key national and international efforts focused on evaluating the safety, effectiveness, value and quality of healthcare. Dr. Gliklich also holds several patents for both health outcomes systems and medical devices.
Dr. Gliklich is a graduate of Yale University and Harvard Medical School and a former Charles A. Dana Scholar at the University of Pennsylvania. He is also a surgeon and the Leffenfeld Professor at Harvard Medical School.

Register Free: https://www.pharmexec.com/pe_w/automating-reducing

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