Connect with a research-ready network spanning 30M+ patients, 200 research sites, and 1000+ trials to accelerate feasibility, sharpen site selection, and generate deeper evidence across the clinical development lifecycle.
See how our AI-powered platform analyzes structured and unstructured EMR data to surface the right sites and patients faster than manual process.
Site Networks
Access AI-powered technology and a connected research network that help sites strengthen trial readiness, expand sponsor relationships, and unlock more value from their clinical data.
Connect your sites to a research network that attracts sponsors, increases study volume, and turns your clinical data into a long-term competitive advantage.
BEKhealth starts 2024 with new branding and go-to-market strategy BEKhealth, an AI-powered EMR data platform is celebrating a new marketing framework to better serve their customers and the market at-large. The company launched the new brand at SCOPE 2024 with a new...
Precision Site Matching for Rapid Physician Referral In clinical research, timing is everything—and nowhere is that more evident than in site selection and patient referral. Traditional models often rely on time-consuming feasibility questionnaires, disconnected...
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...
EPIC EMR Expedited Implementation Puts Clinical Research on the Fast-track In clinical research, EMR access is foundational—but EMR integration timelines often create bottlenecks that delay study activation, site readiness, and patient recruitment. Lengthy technical...
Put the BEKnetwork to Work Matching Your Site to Right-Fit Sponsors and Trials for Your Patients At the intersection of clinical research, site capacity, and sponsor demand lies a powerful solution: the BEKnetwork. Designed to support research sites with a data‑driven...
