Clinical Research Blog
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.
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
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.
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.
Top 5 Clinical Trial Enrollment Metrics to Watch in 2026
Clinical trial success in 2026 will depend on more than enrollment numbers. From time to first patient in to diversity benchmarks, discover the five key metrics that will define performance—and how sites can prepare to meet evolving sponsor and regulatory expectations.
AI-Powered Patient Recruitment: How Integrated Tools Accelerate Clinical Trial Enrollment
Clinical trial enrollment has long been slowed by manual chart reviews and fragmented workflows. By embedding AI-powered patient matching directly into CRIO’s platform, and pairing it with Delfa’s multi-channel engagement, BEKhealth is helping sites accelerate recruitment, reduce…
Combating Health Misinformation with Accurate, Transparent Data
Health misinformation erodes trust and slows trials. Accurate, transparent, and inclusive data helps clinical research build confidence, strengthen participation, and counter misinformation effectively.
Why Overworked Teams Lead to Enrollment Delays and How AI Can Help
The clinical research industry blames enrollment delays on “hard-to-find patients,” but the real culprit is overworked research coordinators making split-second triage decisions. Those accumulated “maybe later” patients are what’s really stretching your timelines.
How AI Can Drive Diversity in Clinical Trials and Improve Patient Outcomes
AI is revolutionizing clinical trials by enhancing patient diversity, improving recruitment processes, and ensuring more inclusive research. This post explores how AI is paving the way for more equitable trials and better patient outcomes.
AI in Clinical Research: Why NLP and LLMs Work Better Together
BEKhealth combines NLP and LLMs to power smarter clinical workflows—using each where it works best, from patient matching to summarization and communication.
Smarter Site Selection: What Sites Can Do to Stand Out in Feasibility Scoring
Sponsors are using data-driven feasibility scoring tools to decide which sites get selected for studies. This post explains how sites can proactively stand out by using EMR data, performance metrics, and AI-powered tools to prove trial readiness.