Clinical Research Blog
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.
Cracking the Hardest Code in Clinical Trials: How AI Unlocks Rare Disease Recruitment
Rare disease trials are often derailed before they even begin—not by science, but by the inability to find eligible patients. With diagnoses hidden in plain sight and traditional methods falling short, a new approach is quietly reshaping what’s possible.
AI-Powered Patient Matching: Why It’s Essential for Modern Clinical Trials
Patient matching is the foundation of clinical trial success—but traditional methods can’t keep up with today’s data complexity and protocol demands. Learn how AI patient matching transforms recruitment by unlocking insights from unstructured data and accelerating enrollment.
Unstructured, Not Unusable: How AI Unlocks Hidden Patient Insights in Clinical Research
The future of clinical research lies in the details we’ve long overlooked. Discover how AI is unlocking the full story hidden in unstructured patient data.
How AI Can Help Solve the Top 3 Challenges in Modern Patient Recruitment
Strict criteria, tight timelines, and growing pressure to enroll more diverse populations—it’s no wonder 80% of clinical trials are delayed due to recruitment. But what if we’re just using the wrong tools? We’re seeing AI flip the script on recruitment challenges…
The Transformative Role of AI and Real-World Data in Clinical Trial Recruitment
Explore how the integration of AI and Real-World Data is reshaping clinical trial recruitment. This innovative approach improves patient matching, enhances diversity, and accelerates enrollment, addressing the challenges of traditional methods.
Making AI Work for You: Practical Tips for Integrating AI into Patient Recruitment
AI is making waves in clinical research, streamlining everything from protocol design to patient recruitment. However, integrating AI into existing workflows can feel overwhelming. There’s a lot of talk about AI’s potential, but for many in the industry, the big question is: How do we actually use it in our day-to-day work?
Tackling Patient Recruitment Challenges with AI: TrialGPT vs. BEKplatform
Artificial intelligence (AI) is revolutionizing the landscape of clinical trials, particularly in the realms of patient recruitment and matching....
AI and the Art of Patient Engagement: Building Stronger Connections in Clinical Trials
In the dynamic world of clinical trials, keeping patients engaged is no longer just about meeting protocol requirements—it’s about creating...
AI and Behavioral Profiling: Improving Patient-Matching
Recruiting the right patients for clinical trials has long been one of the most significant hurdles in the clinical research process. Despite the...
Preventing Patient Dropouts with AI-Based Outreach: How AI Enhances Patient Retention in Clinical Trials
BEKhealth and Areti Health collaborate to reduce patient dropout rates in clinical trials using AI-driven engagement. Through predictive monitoring and automated personalized outreach, researchers can flag disengaged participants early and re-engage them.