Leveraging Real-World Data for Smarter Clinical Trial Feasibility

Strategies for Faster Enrollment and Better Patient Representation

Clinical trial teams today face a dual challenge: how do you design studies that truly reflect real-world patient populations without sacrificing enrollment speed and efficiency? For many organizations, achieving both feels like an impossible tradeoff, and the cost of getting it wrong is high.

Regulators are increasingly requiring that clinical trial participants reflect the real-world populations most impacted by the condition being studied. At the same time, enrollment delays can cost millions of dollars, with each lost day pushing back development timelines and eroding competitive advantage. Despite these high stakes, most feasibility approaches still rely on incomplete and disconnected data, leaving teams struggling to balance regulatory requirements with the need to accelerate enrollment.

But what if you didn’t have to choose?

This white paper explores how a unified, data-driven approach can eliminate the false tradeoff between patient representation and enrollment success. Download it below to discover this balanced strategy.