Rapid Identification of Right-Fit Patients

In clinical research, delivering precisely the right patients to the right sites swiftly can mean the difference between fast enrollment and prolonged delays. When a global pharmaceutical sponsor launched a major depressive disorder (MDD) trial, they needed to accelerate enrollment in a competitive and often under‑represented therapeutic area. That’s where BEKhealth stepped in with its signature capability: rapid identification of right‑fit patients.

Using its AI‑powered BEKplatform—trained on real-world EMR data—and a collaborative nationwide BEKnetwork of research‑ready sites, BEKhealth analyzed structured and unstructured patient data to surface hundreds of clinically qualified candidates at a single clinical site. These automated, high‑precision matches addressed I/E criteria without lengthy feasibility surveys or manual chart review.

This outcome was more than fast—it was exceptionally successful. That single site, enabled by BEKhealth’s precision matching, went on to become the highest enrolling site among 57 participating locations, demonstrating not only speed but sustainable enrollment momentum.

What’s behind this capability? BEKhealth’s platform translates EMR data (structured and narrative notes) into actionable trial-matching insights with over 90% match confidence. By combining this with targeted physician engagement via the BEKnetwork, applications convert quickly into referrals and enrollments.

Download the full case study to read how BEKhealth accelerated a depressed patient trial’s enrollment trajectory, enabled sponsors to recover stalled studies, and set a benchmark for data-driven feasibility and identification across networked sites.

Whether you’re a sponsor, CRO, or research site, the rapid identification of right‑fit patients model proves that speed, scale, and precision are not mutually exclusive—they can be the foundation of trial success.