Webinars

Hear from experts on real-world data on a range of topics including clinical trials, precision medicine, mortality data, rare disease research and more.

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Getting the Edge in Your Data Strategy: The Key to Dismantling Pharma’s Data Silos

In this webinar, speakers from ZS and Datavant will discuss
How RWE and commercial teams can benefit from linking both third-party and proprietary data across their organization,etc….

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Insights from BHI: Intersection of Behavioral Health & Chronic Medical Conditions

In this webinar, you will learn:
An overview of BHI and the type of data and analytic solutions offered,etc…

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The Value of Real-World Data in Clinical Trials

In this webinar, you will learn:
What are examples of successful applications of real-world data in clinical trials? And, what role has COVID-19 played in reshaping this?etc…

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Insights from Quest Diagnostics: COVID-19 and Beyond

In this webinar, you will learn:
An overview of Quest Diagnostics and types of testing offered,etc…

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Using Fit-for-Purpose EHR Data to Understand COVID-19

In this webinar, you will learn:
An overview of EHR data and its fit-for-purpose value in understanding treatment decisions and impact on patient outcomes,etc….

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Enriching Patient Journey Insights with Lab data

In this webinar, you will learn:
The value of a unique clinically smart platform to execute cohorts faster and more precisely,etc….

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Using Fit-for-Purpose Real-World Data to Enhance Our Understanding of COVID-19

In this webinar we will provide an overview of how linking real-world data across institutions is necessary to accelerate COVID-19 research,etc….

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What an open data ecosystem can do for clinical development

In this webinar, we discussed recent progress in clinical development, particularly given the FDA’s push to incorporate real world data for protocol feasibility analysis, hybrid trial design, etc…

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Specialty Pharmacy Data Aggregation: Opportunities & Challenges Webinar

In this webinar we will provide an overview of specialty pharmacy data, tracing the patient journey to understand the data being generated and how it flows.etc…..

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