Predict future enrollment using real-time performance metrics.

Site selection represents a substantial financial bet in clinical development. It is a tremendous investment of limited budget and runway that risks being lost entirely if a site fails to enroll patients. Most industry feasibility models, however, remain shockingly archaic, prioritizing participation history, general reputation, and publicly available sources—such as clinical trial registries, research publications, company websites, and regulatory filings.

The industry requires a new approach to feasibility that transcends participation history and superficial experience metrics. Selecting sites based on where they have been, rather than how they are performing right now, is akin to navigating a complex landscape with a decade-old map.

This eBook explores the high financial and operational risks of outdated site feasibility approaches, and highlights the need for a more advanced, data-driven model that evaluates real-time site performance to improve enrollment success and protect clinical trial investment.

Download the eBook to learn more.