Enrollment Benchmarking: Driving Predictability In Clinical Trial Timelines

By Jenna Morris, Executive Director, Data Solutions, Anju Software

Efficient patient enrollment is a cornerstone of clinical trial success, directly impacting budget and patient access to new therapies. However, approximately 80% of clinical trials fail to meet initial enrollment targets, leading to delays, cost escalations, and regulatory challenges. Enrollment benchmarking, powered by advanced data solutions like TA Scan’s Trial Feasibility Flex, has emerged as a critical tool in addressing these challenges. By leveraging high-quality historical data, predictive analytics, and real-time monitoring, sponsors can enhance trial planning and execution.