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DIA DIRECT: How to Build a Data-Sharing Strategy for Pharma Innovation


Overview

Brought to you by DIA in cooperation with

Kernel


Now more than ever, the eyes of the world are on sponsors to collaborate, sharing their clinical trial data to combat human health emergencies.

While individual patient-level data sharing is largely done on a voluntary basis, privacy is just as important as when clinical studies are published by regulators.

In this webinar, we will investigate the different decisions pharmaceutical companies face and look at how these decisions impact brand reputation and public trust. A series of interactive polls throughout the webinar will guide the discussion, using your feedback to help determine what scenario to explore next

Featured topics

  • Data sharing as a clinical trial sponsor's social responsibility
  • The real-world cost of not sharing safe, insight-rich data
  • A framework for safely sharing and using sensitive clinical trial data

Learning objectives

Upon completion of the webinar, participants will be able to:

  • Compare qualitative and quantitative approaches to anonymization
  • Evaluate whether to build an in-house anonymization capability, buy software, or engage a vendor
  • Analyze methods for balancing patient privacy and data utility

Continuing Education Credits are not available for this event.


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