How to Better Identify and Engage Your Research Sites

Any successful clinical trial relies on high-performing sites to recruit and retain research participants. However, many studies fail to accurately estimate and achieve their enrollment goals.

Timely challenges, such as restarting studies delayed by the pandemic, more competition for patient populations, and staffing and resource constraints across the industry are exacerbating common site identification and activation hurdles.

By leveraging deeper insights and providing additional resources to sites, sponsors and contract research organizations (CROs) can increase the likelihood of success by better identifying and engaging the right sites at the right time.

Join us for a two-part webinar series where Advarra experts JV Rao, Wendy Tate, and Aidan Gannon dive into strategies to identify the best-equipped sites for your studies. They also explore and discuss the tools you will need to ensure those sites’ success.

Part One: Using Data to Better Identify High-performing Sites

Register on-demand here
Presented by JV Rao, VP of Data Sciences, Advarra, and Wendy Tate, Director of Advanced Analytics & Research Operations, Advarra 

Learning Objectives:

• Examine the current state of site identification and identify areas of risk mitigation and optimization opportunities
  
• Investigate key metrics and insights to integrate into your site identification strategy
• Review use cases and key workflows for site identification and tour Advarra’s SiteIQ capabilities

Part Two: How Sites Want to be Engaged

Tuesday, June 28 at 1:00pm ET  
Presented by Aidan Gannon, Director of Client Services & Innovation, Advarra 

Learning Objectives:

• Leave the investigator brochure at the door, and address how the “status-quo” approach to site engagement increases your chances of delays and deviations
• Review proven strategies for successful engagement and feedback from real sites
• Explore case studies of real research programs whose engagement strategies increased recruitment, reduced deviations, and achieved enrollment goals

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