WCG Predict Delivers Investigators and Optimizes Enrollment, Leading To Significant Savings

Looking to eliminate unpredictability during your site selection process? You need access to real-time data on investigator performance, and you need expert insights to interpret that data.

WCG Predict™ - part of the WCG Total Feasibility™ Services suite - uses historical performance data from thousands of global clinical trials, investigators and institutions to find the precise match for a study’s therapeutic approach and protocol.

This information is housed in the WCG KnowledgeBase™, which contains data on 95% of all industry-sponsored research as well as demographic and performance metrics for more than 140,000 investigators worldwide. This proprietary data allows us to give each client a specific, hand-tailored list of sites most likely to be high enrollers for their upcoming study. It also allows us to provide insights into the enrollment and competitive landscape for their primary indication.

By reducing unpredictability in site performance, you end up with greater reliability and less risk. That translates into faster time to your next key decision point, improved ROI and better insight into study planning timelines and targets.

In this paper we demonstrate this with an analysis of an actual major depressive disorder trial. By selecting verified top-performing investigators through WCG Predict™, the sponsor could have cut enrollment by six months and saved at least $400,000 in fully loaded costs.