Fraudit
Follow the money.
Total Medicare Payments Tracked
across 845,862 providers · $239K flagged high-risk · 0 tips submitted
Real-time fraud risk scores built on public government data — search any provider, address, city, state, or zip code.
Latest Signals — Last 24 Hours
Top 50 Highest-Flagged Providers
Live Rankings| # | Provider | Risk | |
|---|---|---|---|
| 1 | Lisa Abraham◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 2 | Patrick Cacchio◎Ghost Operations Billing 249% above state median for Medicare | 100 | View → |
| 3 | Brad Bruns◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 4 | William Hodge◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 5 | Keith Friedman⚕Healthcare Inflated Per-Service Billing — High Avg Allowed Amount | 100 | View → |
| 6 | Scott Shapiro◎Ghost Operations Billing 574% above state median for Medicare | 100 | View → |
| 7 | Andrew Marek◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 8 | Brian Schneekloth⚕Healthcare Commercial provider at residential/suite address | 100 | View → |
| 9 | Yves Verdieu◎Ghost Operations Billing 205% above state median for Medicare | 100 | View → |
| 10 | Ian Aveytua◎Ghost Operations Billing 220% above state median for Medicare | 100 | View → |
| 11 | Jane Mason⚕Healthcare High provider concentration in zip 18103 | 100 | View → |
| 12 | Vinay Madan⚕Healthcare Inflated Per-Service Billing — High Avg Allowed Amount | 100 | View → |
| 13 | Luis Arzeno Tejada◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 14 | Janet Mulroy◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 15 | Ngum Kikah Atem◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 16 | Matthew Lindberg◎Ghost Operations Extreme payment volume — top 1% nationally | 100 | View → |
| 17 | Michael Nichols◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 18 | David Trumbore◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 19 | Ashish Mathur◎Ghost Operations Billing 400% above state median for Medicare | 100 | View → |
| 20 | Pamela Dawson⚕Healthcare Inflated Per-Service Billing — High Avg Allowed Amount | 100 | View → |
| 21 | Jay Lusk◎Ghost Operations Billing 180% above state median for Medicare | 100 | View → |
| 22 | Loan Nguyen◎Ghost Operations Billing 987% above state median for Medicare | 100 | View → |
| 23 | Mauricio Moreno Vera◎Ghost Operations Billing 397% above state median for Medicare | 100 | View → |
| 24 | Donald Marcus◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 25 | Eddy Mizrahi◎Ghost Operations Billing 507% above state median for Medicare | 100 | View → |
| 26 | Philip Paspa⚕Healthcare Billing 541% above state median for Medicare | 100 | View → |
| 27 | Sherry Hall⚕Healthcare Inflated Per-Service Billing — High Avg Allowed Amount | 100 | View → |
| 28 | Kapil Passi⚕Healthcare Inflated Per-Service Billing — High Avg Allowed Amount | 100 | View → |
| 29 | Fnu Rabel◎Ghost Operations Billing 201% above state median for Medicare | 100 | View → |
| 30 | Priscilla Mcleod◎Ghost Operations Billing 389% above state median for Medicare | 100 | View → |
| 31 | David Lang◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 32 | Sarah Crickman◎Ghost Operations Billing 274% above state median for Medicare | 100 | View → |
| 33 | Michael Mcpherson◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 34 | Neil Soehnlen◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 35 | Michael Abendroth◎Ghost Operations Billing 613% above state median for Medicare | 100 | View → |
| 36 | William Holloway◎Ghost Operations Billing 419% above state median for Medicare | 100 | View → |
| 37 | Joseph Curcio◎Ghost Operations Billing 566% above state median for Medicare | 100 | View → |
| 38 | Kunwar Khalsa◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 39 | Alexander Boyle◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 40 | Benjamin Stronach◎Ghost Operations Billing 319% above state median for Medicare | 100 | View → |
| 41 | Anthony Flaim⚕Healthcare Inflated Per-Service Billing — High Avg Allowed Amount | 100 | View → |
| 42 | Subhikshya Tiwari◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 43 | David Zagha◎Ghost Operations Billing 2035% above state median for Medicare | 100 | View → |
| 44 | Jessica Sullivan◎Ghost Operations Billing 301% above state median for Medicare | 100 | View → |
| 45 | Charles Moussallem⚕Healthcare Deceased/High-Mortality Beneficiary Billing Pattern | 100 | View → |
| 46 | Irina Lendel◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 47 | Nicole Massoll◎Ghost Operations Billing 998% above state median for Medicare | 100 | View → |
| 48 | Robert Galamaga◎Ghost Operations Billing 5277% above state median for Medicare | 100 | View → |
| 49 | Homam Moussa Pacha◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 50 | Jun Yang⚕Healthcare High provider concentration in zip 91801 | 100 | View → |
Why This Exists
In early 2026, independent journalist Nick Shirley published a 40-minute video documenting over $170 million in suspected Medicaid fraud in California — ghost daycares, phantom hospice patients, and addresses billing millions with no building in sight. He did it the hard way: driving to addresses with a camera.
His work was so compelling he was called to testify before Congress. But the tool he needed to do that investigation in secondsinstead of months didn't exist. So we built it.
Watch Nick Shirley's InvestigationWhat Fraudit Does
- ▸Ingests all public CMS Medicare/Medicaid payment data, USASpending.gov, IRS 990s, state registries, and county assessor records
- ▸Scores every provider 0–100 based on statistical anomalies — billing outliers, enrollment spikes, cross-owner links, license age vs. volume
- ▸Generates shareable, journalist-friendly reports with a single URL — so a finding that took Nick months takes 3 seconds
- ▸Accepts anonymous public tips on any provider — crowdsourced ground truth that improves the model over time
Built for Journalists
We build for the investigators who do the work. These journalists have used public data to expose what governments don't want found — and every confirmed case they publish becomes training data that makes Fraudit more accurate.
Exposed $170M+ in CA Medicaid fraud. Testified before Congress. The reason this tool exists.
@nickshirley →Pioneered the Surgeon Scorecard and Dollars for Docs — the standard for public data journalism.
propublica.org →FOIA request platform that has produced thousands of government document disclosures.
muckrock.com →Are you an investigative journalist using public data to expose government fraud? We want to support your work.
The Problem We're Solving
Estimated annual Medicare and Medicaid fraud in the US, per CMS and HHS OIG estimates
The length of Nick Shirley's investigation video — representing months of manual driving and cross-referencing
How long a Fraudit search takes to surface the same anomalies — built entirely on data that was already public
Every data source Fraudit uses is publicly available. CMS publishes provider payment data. USASpending.gov publishes every federal contract and grant. IRS 990s are public record. State business registries are online. County assessor data is open. The information was always there — it just needed to be assembled.
Important: Fraudit surfaces statistical anomalies from public data. A high risk score means a provider's billing patterns deviate significantly from peers — it is not proof of fraud, wrongdoing, or illegal activity. All findings should be independently verified before publication or action. Fraudit is a research tool, not an enforcement instrument.