Clinical Research Blog
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.
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.