Clinical Trial Disclosure and Data Transparency Conference

Learn about the latest requirements in clinical trial disclosure and data transparency, share best practices, and engage in in-depth discussions on hot topics.

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Session 7: Sharing Patient Level Data: Where Are We Headed?

Session Chair(s)

Marla Jo Brickman, PhD

Senior Director - Clinical Data Transparency/Compassionate Access Lead

Pfizer Inc, United States

The sharing of patient-level data has now become the new norm. Provisions for sponsors of clinical research (industry, academia, government) are being added to regulations and guidelines requiring these sponsors to make the de-identified/anonymized data supporting this clinical research available to other researchers. In this session, we will discuss the practical implications of current data sharing models, as well as, explore future models and what this means for the research community, government, industry, and academia.

Learning Objective :
Explain current models for the sharing of patient-level data
Recognize proposals for future models for the sharing of patient-level data
Interpret first-hand accounts in sharing/using patient-level data

Speaker(s)

Speaker

Sean Khozin, MD, MPH

CancerLinQ, LLC, United States

Executive Vice President of ASCO; Chief Executive Officer

Speaker

Rebecca Li, PhD

Vivli , United States

Executive Director, Center for Global Clinical Research Data

Q&A Panel Discussion

Panel Discussion

All Session Speakers, United States

Clinical Trial Disclosure and Data Transparency Conference

Session 7: Sharing Patient Level Data: Where Are We Headed?

Session Chair(s)

Marla Jo Brickman, PhD

Learning Objective : Explain current models for the sharing of patient-level data Recognize proposals for future models for the sharing of patient-level data Interpret first-hand accounts in sharing/using patient-level data

Speaker(s)

Speaker

Speaker

Q&A Panel Discussion

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Learning Objective :
Explain current models for the sharing of patient-level data
Recognize proposals for future models for the sharing of patient-level data
Interpret first-hand accounts in sharing/using patient-level data