BEKhealth + Areti Health:
One week after implementation, our client has engaged 462 BEK medically-qualified candidates, pre-screened 34 patients, and scheduled 31 patients for initial screening visits.
Educational Resources
Clinical Research Blog
Why RWD-Informed Protocols Still Miss Enrollment Targets
The use of RWD in clinical trial design has never been higher. Enrollment performance has not improved in step. Nearly 80% of trials miss their original timelines, and one in ten sites enrolls zero patients. Three structural failure modes explain the gap, and what sponsors should demand to close it.
First Analysis: Industry Forums Highlight 5 Key Themes in Pharma IT
The latest Pharma IT outlook highlights that the future of clinical development will be defined by how well we operationalize data. AI, real-world evidence, and smarter infrastructure are no longer future concepts…
Why “Eligible Patients” Aren’t Always Enrollable Patients
Eligibility explains who could enroll. Enrollability determines who will. When trials confuse the two, feasibility looks strong and enrollment falls short.
Why Traditional Feasibility Fails (and What Actually Predicts Enrollment Success)
Traditional clinical trial feasibility often overestimates enrollment by relying on historical performance and surface-level patient counts. In this post, we break down why those methods fail, and what actually predicts enrollment success.
American Hospital Association: How AI Is Transforming Clinical Trials
Artificial intelligence is rapidly reshaping clinical research by reducing timelines, lowering costs, and improving trial efficiency. In the AHA Center for Health Innovation Market Scan, BEKhealth is highlighted for its AI-powered natural language processing platform that analyzes both structured and unstructured electronic health record data to accelerate the identification of protocol-eligible patients and strengthen feasibility analytics for sponsors and sites.
Top AI-Driven Clinical Trial Patient Identification Tools: What Research Teams Should Look for in 2026
AI is reshaping clinical trial enrollment by helping teams interpret complex medical data and surface eligible patients faster. This guide breaks down the essential capabilities that define the top AI-driven clinical trial patient identification tools and how they improve feasibility, accuracy, and workflow efficiency.
Beyond the Buzzword: What Real AI Looks Like in Clinical Research
The term “AI” is everywhere in clinical research. However, most of what’s called intelligence is really automation. True innovation lies in teaching machines to understand medicine the way humans do.
Educational & Sales Collateral
Rapidly Find and Match Clinically Qualified Patients to Clinical Research Studies
BEKhealth helps clinical researchers rapidly identify and match trial-qualified patients using AI-powered analysis of structured and unstructured EMR data—streamlining feasibility and accelerating enrollment across site networks.