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.

HERE'S HOW WE DID IT

Educational Resources

Clinical Research Blog

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.

Human-in-the-Loop AI in Clinical Trials: Why the Future of Recruitment Isn’t Fully Automated

As AI reshapes clinical research, BEKhealth is proving that humans still belong in the loop. Discover how our hybrid approach combines AI precision with expert oversight to deliver faster, higher-quality recruitment and why the future of trial enrollment isn’t fully automated.

The Rise of the Digital-Ready Site: How Technology Readiness Wins More Studies

Most organizations use real-world data to recruit patients. Few use it to transform the entire research lifecycle. Learn how continuous clinical trial ecosystems connect feasibility, enrollment, monitoring, and outcomes to advance discovery and improve evidence reliability.

Beyond Recruitment: Leveraging RWD to Power a Continuous Clinical Trial Ecosystem

AI + Real-World Data: Accelerating What’s Possible in Clinical Research

Artificial intelligence is transforming how clinical researchers use real-world data. By unlocking insights from unstructured medical records, AI is accelerating trial recruitment, improving feasibility, and shaping regulatory evidence — moving healthcare closer to faster, smarter, and more inclusive clinical research.

Protocol Deviations and Patient Mismatch: The Silent Threat to Trial Success

Protocol deviations are one of the most costly and overlooked risks in clinical research—often stemming from mismatched patients at the very start of the trial. By replacing manual chart review with AI-driven patient matching, sites can prevent deviations before they occur, protect data integrity, and accelerate trial timelines.

The Alldus Podcast: AI in Action

Podcast

Josh Ransom, BEKhealth’s VP of Customer Experience and board member, discusses how BEKhealth’s AI-powered platform enhances clinical trial patient recruitment through advanced EMR integration, NLP-driven candidate detection, and operational scalability—on the AI in Action podcast.

BEKhealth AI outperforms Google, Amazon, and other leading medical AI

White Paper

BEKhealth’s proprietary medical LLMs achieved significantly greater accuracy than AWS, Google Healthcare NLP, Spark NLP, and medspaCy on procedure, lab, diagnosis, and medication data—empowering faster and more precise patient matching for clinical trials.

Precision Site Matching for Rapid Physician Referral

Case Study

BEKhealth used its BEKnetwork and AI-powered BEKplatform to rapidly match clinical trial sites with the right patient population. Within 24 hours of kickoff, they identified and delivered the first physician-referred AFib patient—giving the sponsor a critical head start.

Rapid Identification of Right-Fit Patients

Case Study

BEKhealth used its AI-powered BEKplatform and BEKnetwork to rapidly identify hundreds of protocol‑eligible patients for a major depressive disorder trial. The site became the highest enrolling among 57—and sustain enrollment momentum toward trial completion.