Rapidly Find and Match Clinically Qualified Patients to Clinical Research Studies

In today’s increasingly competitive clinical research landscape, the ability to rapidly find and match clinically qualified patients is essential to trial success. Yet many research sites and sponsors still rely on outdated methods like manual chart reviews, generic feasibility questionnaires, or static patient databases that fail to keep pace with enrollment goals.

BEKhealth addresses this gap with BEKplatform, an AI-powered patient-matching solution purpose-built for clinical research. Unlike traditional recruitment solutions that focus solely on outreach, BEKhealth begins with the most critical factor: identifying patients who are truly clinically eligible—using real-world EMR data. By analyzing both structured and unstructured data from electronic medical records, the platform unlocks insights that legacy systems simply can’t detect.

BEKhealth’s hybrid approach combines AI with expert clinical review to ensure that every patient surfaced is highly likely to meet protocol inclusion and exclusion criteria. This reduces screen failures, accelerates enrollment timelines, and improves trial startup metrics. Researchers can assess feasibility across thousands of patients in minutes, visualize protocol-fit cohorts in real time, and make informed decisions based on deep clinical data—not guesswork.

For sponsors and CROs, this means more accurate enrollment forecasting, consistent performance across sites, and reduced delays. For sites, it means fewer wasted hours on chart review, more sponsor attention, and increased revenue opportunities through expanded trial access. In every case, BEKhealth empowers teams to do more with less—enabling faster, smarter trial execution.

Download the sell sheet to explore how BEKhealth helps you rapidly find and match clinically qualified patients—at scale, with speed, and with unmatched accuracy. Whether you’re a sponsor, CRO, or research site, BEKhealth provides the tools to turn EMR data into enrollment-ready patient cohorts—and make every trial opportunity count.