Next Generation Site Identification, From Theory to Practice
Application of Human Data
Dec 01, 2017
The novel application of real-world data, statistical analysis, machine learning and predictive modeling has the potential to improve site identification for clinical trials – a process that still relies heavily on key opinion leaders (KOLs), historical experience and assumptions. This AccessPoint article includes use cases that quantify how these resources are accelerating site identification, improving patient enrollment rates and saving operational costs.
You may also be interested in
Contact Us
Contact Us
Contact Us

Email Us

Get in touch today to discover the right solutions for you.

Call Us

We are pleased to speak with you during our standard business hours.

U.S. Toll-Free only
+1 866 267 4479

For international call please find a number in our toll-free list.