QUI is the sole supplier in the US of a sophisticated pattern recognition algorithm developed under the aegis of the Johns Hopkins Institutional Review Board. Our disruptive technology uses peer benchmarking to detect fraudulent and outlier practice patterns among healthcare providers. JAMA, the Journal of the American Medical Association, reports that fraud from "overtreatment or low-value care; fraud and abuse" costs the US healthcare system about $162,000,000,000 per year. QUI's algorithm recognizes both good and bad practice patterns, producing data-rich physician intelligence that supports legal, insurance, and healthcare decision-making.

QUI’s platform helps attorneys succeed in prosecuting wrongful death, medical malpractice, and False Claims Act lawsuits. It also equips insurers and brokers with underwriting and claims intelligence, including physician evaluation reports and risk-oriented analytics that help assess provider risk. In healthcare settings, QUI provides data-driven decision support for hiring, credentialing, physician evaluation, and related operational workflows.

In these ways, QUI:
 I) works with prosecutors to help secure the settlement or verdict their harmed patient deserves;
 II) serves as a premier co-relator resource for False Claims Act whistleblowers. By unleashing QUI's practice pattern algorithm, together we help eliminate overtreatment and low-value care that harms patients, and we help expose healthcare fraud;
 III) equips insurers, brokers, and healthcare systems with objective physician intelligence that supports underwriting, claims visibility, hiring, credentialing, and physician evaluation.

QUI's practice pattern recognition algorithm reduces patient harm, improves healthcare efficiency, and helps expand the life of Medicare and Medicaid, preserving public health dollars for all of us.

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