Clinical Research Blog
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.
The Hidden Cost of Protocol Deviation and How Better Patient Matching Solves It
Protocol deviations are often viewed as isolated issues, but they usually point to deeper workflow challenges at the site level. This post explores how smarter patient matching—powered by AI and EMR data—can help clinical research teams reduce preventable deviations and improve overall trial quality.
What If You Could Skip the Manual Chart Review? AI Tools Built for CRCs
Clinical research coordinators are often buried in manual chart reviews that slow recruitment and strain site resources. This post explores how EMR search tools for clinical research coordinators, powered by AI, can streamline patient identification, reduce workload, and help research teams move from reactive to proactive enrollment—without sacrificing accuracy or oversight.
From Static Lists to Real-Time Matches: How AI Is Revolutionizing Trial Eligibility Screening
Traditional trial recruitment is too slow. Learn how real-time eligibility screening uses AI to surface eligible patients instantly—cutting enrollment delays, reducing manual work, and helping sites hit their goals faster.
Safeguarding Patient Trust: Ethics and Privacy in Real‑World Data AI
As AI becomes more embedded in clinical research, protecting patient trust is more important than ever. This post explores how to ethically use real-world data—balancing innovation with privacy, transparency, and responsible stewardship.