The Fraud Crisis in Patient Research

Fraud, Clinakos, Confirmis, Medically Smart AI, Patient Research, webinar

Every invalid patient record reshapes the science you depend on.
In rare disease, that’s not a rounding error—it’s the dataset.

📊 Studies now report 10–15% fraud across general research and 15–25% in rare disease, with extremes hitting 94%.
Small populations, high compensation, and invisible diagnostic trails make these frauds easy to miss—and devastating when overlooked.

That’s why we built Confirmis™, our Medically Smart AI™–powered diagnosis verification engine.
Confirmis™ uses Integrated Patient Data™—linked EMR, claims, labs, Rx, and more—to:

  • Validate that each participant actually has the condition of interest.
  • Flag temporal and clinical inconsistencies before they contaminate your dataset.
  • Produce an auditable verification layer that stands up to regulatory and payer scrutiny.

🧠 Example: In a recent rare oncology registry, our Confirmis™ workflow surfaced mismatches between diagnosis dates and treatment starts—an early signal of fraudulent enrollment, caught before data lock.

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