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Webinar: Maximizing Trial Success Requires Evolving Feasibility and Recruitment Strategies

Thursday, May 23, 2024  |  12:00pm – 1:00pm EDT

The competitive landscape for clinical trials and doing more with less has never been higher. Clinical trials need to be set up for success by selecting the right sites that can enroll and retain patients, meet quality standards, and deliver reliable data. Current feasibility methods rely on questionnaires that ask sites to estimate their participant recruitment potential, but this is often inaccurate and overreported. WCG and other companies use match scores that evaluate sites based on their experience, quality indicators, and performance, as well as the competitive landscape in their area.

However, data is not enough to make informed decisions. Experts and nuance are needed to understand the strengths and weaknesses of each site and how to support them effectively. Delays are often caused by mismanagement and lack of communication, not by selecting the wrong sites. Data is the starting point, but not the end point of site selection and management. Planning is essential, but so is making real-time adjustments based on changes at the site.

We will discuss:

  • Developing site selection and recruitment strategies that are not one-and-done and are continuously modified and updated over the course of a clinical trial.
  • Leveraging data and insights to have a better projection of site enrollment.
  • Instituting the best ways to have high-impact improvements on site selection and recruitment.

 

Join us as we explore the competitive landscape of clinical trials and how feasibility and participant recruitment and retention play a pivotal role in the success of a study.

Register today for this free webinar!

 

Presenters

 

Crissy MacDonald

Crissy MacDonald, PhD
Vice President, Client Delivery
WCG

 

 

Seth Halvorson

Seth Halvorson
General Manager, Site Solutions
WCG

 

 


 

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WCG’s Total Feasibility solution optimizes and simplifies study planning, site identification, and selection processes.
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