Clinical Trial Site Selection and AI: Look-Alike Modeling Across Real-World Data and Care Delivery Signals

Site selection and enrollment failures are persistent challenges for life sciences organizations. A Tufts Center for the Study of Drug Development analysis of nearly 16,000 investigative sites across 151 Phase II and III global trials found that nearly half of all selected sites either failed to enroll a patient or under-enrolled.1 Site-selection decisions commonly draw <a class="more-posts-link" href="https://hitconsultant.net/2026/10/05/clinical-trial-site-selection-sampling-problem-ai-definitive-healthcare-aaron-cohen/">... Read More</a>