Clinical Research Blog
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.
AI & the Clinical Research Coordinator: Redefining Roles, Not Replacing Them
Many research teams hesitate to adopt AI in patient recruitment—not because they doubt its potential, but because they fear disruption. This post explores why that hesitation is often misplaced, and how a practical, system-friendly approach to AI is already transforming recruitment timelines and workflows.
It’s Not Too Late: How to Implement AI-Powered Patient Recruitment—Fast and Without the Headaches
Many research teams hesitate to adopt AI in patient recruitment—not because they doubt its potential, but because they fear disruption. This post explores why that hesitation is often misplaced, and how a practical, system-friendly approach to AI is already transforming recruitment timelines and workflows.
Human-in-the-Loop: Combining Purpose-Built AI and the Human Touch to Ensure Data Accuracy
In clinical research, speed and precision can’t come at the cost of trust. BEKhealth’s human-in-the-loop model bridges the gap between AI-driven patient matching and clinical oversight—pairing powerful, purpose-built technology with expert human review. The result? Faster, more accurate recruitment that research teams can rely on.
Inside BEKplatform’s Ontology: The 24 Million-Term Engine Powering Better Patient Matches
BEKhealth’s proprietary ontology decodes medical language across 30 million records—turning fragmented data into actionable matches that accelerate trial enrollment, improve feasibility, and expand access for patients who’ve long been overlooked.