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In the hottest therapeutic areas today, it can feel like everyone is looking at the same recruitment map. GLP-1 and obesity. CNS and psychiatry. Dermatology. Vaccines. Rare diseases in concentrated geographies. Sponsors design different protocols, contract with different CROs, choose different sites—and yet, in practice, they’re often competing for the same limited patient pools at

Clinical trials have never been better measured — and never more vulnerable to the risks that metrics don’t capture. Sponsors are excellent at tracking what happened: enrollment velocity, screen-failure rates, protocol deviations, data queries, adverse events, and time to database lock. These are essential operational and quality signals. But as therapeutic areas become more competitive

In today’s clinical research landscape, data integrity and subject safety are paramount — yet both remain at risk from a persistent and often invisible problem: duplicate and professional research participants. Across thousands of studies and millions of verifications, Verified Clinical Trials (VCT) has amassed the largest global dataset on subject duplication and protocol violations in

The Aha Moment We See Again and Again It usually starts the same way. A sponsor or site team is confident that duplicate subjects or professional pateints are not an issue in their clinical trial. After all, it seems rare—an unlikely problem compared to recruitment challenges, protocol deviations, or data entry errors. Then comes the

We are thrilled to be attending DPHARM 2025: Disruptive Innovations in Philadelphia (Sept 16-17) — to engage with our peers and showcase how our unique technology makes trials safer, more reliable, and more cost-effective. Why Duplicate Subjects and Professional Patients Are a Serious Risk One of the most persistent challenges in clinical research today is

Clinical trials face an often-overlooked but critical threat: professional patients and duplicate subjects in clinical trials. These individuals move between studies—sometimes across different sponsors, therapeutic areas, or even countries—putting patient safety, data integrity, and trial outcomes at risk. Unfortunately, most traditional methods of protection fall short: These approaches are like putting a band-aid on a