Selecting the right sites for a clinical trial can mean the difference between meeting enrollment goals on time or watching timelines slip month after month. Traditionally, site identification has been conducted on half-baked protocols and has relied heavily on past relationships, anecdotal performance, or basic feasibility questionnaires at the wrong times. While useful, these approaches rarely capture the full operational reality of how a specific protocol will perform at a specific site at the commencement of recruitment.
Turning Protocol Data into Predictive Advantage
At WCG, we use insights from 80,000+ structured protocols and 40,000+ benchmarked trials to create a data-backed model of site performance, quality and speed. This isn’t a one-size-fits-all ranking – it’s a prediction tailored to the exact protocol at hand.
WCG examines the operational variables that most influence site success:
- Inclusion/exclusion criteria: Will they match the patient population the site can realistically access?
- Visit schedules: Are they manageable for both sites and participants?
- Procedural complexity: Do the sites have the infrastructure, equipment, and expertise required?
Why Predictive Modeling Matters
By stress-testing a protocol against historical site performance, we can forecast recruitment speed, anticipate bottlenecks, and identify the sites best positioned to deliver. This data-driven approach has helped sponsors and CROs improve first patient in timelines, accelerate recruitment, and reduce the need for costly mid-study site additions. When the right sites are paired with the right protocols, enrollment accelerates, site burden decreases, and trial outcomes improve – not by chance but by design.
Enhance your intuition and guide better decisions.
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