Legal Disclaimer
Nature of This Analysis
The reports published on this website are statistical analyses of publicly available Medicare billing data published by the Centers for Medicare & Medicaid Services (CMS) and other U.S. government agencies. All source data is available to the public through official government data portals.
Not an Accusation
The identification of a statistical anomaly in a provider's billing patterns does not necessarily constitute a finding, accusation, or allegation of fraud, waste, abuse, or any other wrongdoing. Billing patterns that deviate from peer benchmarks may have entirely legitimate clinical, operational, or business explanations including but not limited to:
- Specialized patient populations with higher acuity
- Unique practice settings (e.g., rural, academic, safety-net)
- Sub-specialty focus within a broader specialty category
- Practice growth, mergers, or structural changes
- Data reporting variations
Purpose of Publication
Reports are published on this website to create a dated public record of independent statistical analysis and original discovery. Publication dates are displayed on each report and are verifiable through web archival services. The publication of these analyses is an exercise of protected speech regarding matters of public interest — specifically, the integrity of publicly funded healthcare programs.
Statistical Methodology
Our analysis uses peer-group z-score normalization, which compares each provider to others in the same medical specialty. While this approach is standard in healthcare analytics, it has inherent limitations. A provider appearing as a statistical outlier means only that their billing patterns differ significantly from the peer average — not that those patterns are improper. Full methodology details are available on our Methodology page.
Estimated Amounts
All financial figures described as "estimated overpayments" or "estimated excess billing" represent the mathematical difference between observed billing and peer-expected billing. These figures are statistical estimates only and do not represent confirmed losses, damages, or improper payments. Actual overpayment, if any, can only be determined through detailed claims-level review and investigation.
No Legal Advice
Nothing on this website constitutes legal advice or a legal determination of any kind. This analysis is not a substitute for professional investigation, audit, or legal review. Case packages provided to partner law firms are analytical work product and should be independently verified before any legal action is taken.
Public Data
All data used in this analysis is publicly available from U.S. government sources. The reporting of publicly available data and our statistical analysis thereof is protected speech under the First Amendment.
Provider Response
If you are a healthcare provider referenced in one of our reports and believe the statistical analysis contains an error or does not account for relevant factors specific to your practice, please contact us at info@zervio.ai. We are committed to accuracy and will promptly review and correct any verified inaccuracies in our published data.