Open to all ISPOR Members and Non-members

 

 

About this Webinar

Since first being described more than 50 years ago, the pragmatic clinical trial (PCT) has been considered the most scientifically rigorous of all real-world research designs. Yet, despite its promise, the PCT design has been relatively underutilized in comparison to other approaches for real-world evidence (RWE) generation. More recently, a variety of organizations have focused attention on the potential to embed clinical trials in real-world practice settings as a means of involving practicing physicians, recruiting real-world patients, and leveraging existing EHR systems for data capture. Is this approach better suited to RWE generation? Should we be talking “embedded” rather than “pragmatic” for real-world clinical trials? In this webinar, experts will explore embedded clinical trials and their potential for effectively generating real world evidence, and review case studies illustrating best practice for these trials in action.

 

Key Takeaways

  • Learn the defining characteristics of embedded clinical trials.
  • Understand the similarities and differences between embedded and pragmatic trials.
  • Identify if and when embedding clinical trials in real-world practice provides a more practical way of improving generalizability.

 

Presented by:

David Thompson, PhD

Joakim Ramsberg, PhD

 

 

2021年9月21日
11:00AM EDT | 4:00PM BST | 5:00PM CEST 

Click here for time zone conversion

 

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.

 

Reservations are on a first-come, first-served basis.

 

Register Now

When 
Tue, Sep 21, 11:00 am
Additional Details 

For More Information Visit The Event Website

ISPOR Educational Webinar Series 

 

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