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 | Vineet Kapur◎Ghost Operations Billing 152% above state median for Medicare | 100 | View → |
| 2 | Benjamin Stronach◎Ghost Operations Billing 319% above state median for Medicare | 100 | View → |
| 3 | Jamilia Broussard⚕Healthcare Inflated Per-Service Billing — High Avg Allowed Amount | 100 | View → |
| 4 | Syed Hasan◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 5 | William Holloway◎Ghost Operations Billing 419% above state median for Medicare | 100 | View → |
| 6 | Muhammad Yasser Alsafadi◎Ghost Operations Billing 205% above state median for Medicare | 100 | View → |
| 7 | Minh Nguyen◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 8 | Van Nguyen⚕Healthcare Address Mill — High-Volume Shared Address | 100 | View → |
| 9 | Ki Kurtz⚕Healthcare Inflated Per-Service Billing — High Avg Allowed Amount | 100 | View → |
| 10 | Mark Albey⚕Healthcare Inflated Per-Service Billing — High Avg Allowed Amount | 100 | View → |
| 11 | Matthew Lindberg◎Ghost Operations Extreme payment volume — top 1% nationally | 100 | View → |
| 12 | Tracy Mcgrane◎Ghost Operations Billing 234% above state median for Medicare | 100 | View → |
| 13 | Stephen Przynosch◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 14 | Cara Rosenbaum◎Ghost Operations Billing 3577% above state median for Medicare | 100 | View → |
| 15 | George Jones◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 16 | Christine Piercy⚕Healthcare Deceased/High-Mortality Beneficiary Billing Pattern | 100 | View → |
| 17 | Sherif Latef⚕Healthcare Inflated Per-Service Billing — High Avg Allowed Amount | 100 | View → |
| 18 | Shellie Faris⚕Healthcare Billing 159% above state median for Medicare | 100 | View → |
| 19 | Har Rai⚕Healthcare Inflated Per-Service Billing — High Avg Allowed Amount | 100 | View → |
| 20 | Anna Burgner⚕Healthcare High provider concentration in zip 37232 | 100 | View → |
| 21 | Joseph Jansen◎Ghost Operations Billing 580% above state median for Medicare | 100 | View → |
| 22 | Briana Estes⚕Healthcare Commercial provider at residential/suite address | 100 | View → |
| 23 | Sarah Crickman◎Ghost Operations Billing 274% above state median for Medicare | 100 | View → |
| 24 | Julia Moukharskaya◎Ghost Operations Billing 300%+ above zip-code peers | 100 | View → |
| 25 | Min Young Yoo⚕Healthcare Inflated Per-Service Billing — High Avg Allowed Amount | 100 | View → |
| 26 | Grigory Gershkovich◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 27 | Michael Nichols◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 28 | Joseph Curcio◎Ghost Operations Billing 566% above state median for Medicare | 100 | View → |
| 29 | David Trumbore◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 30 | Nan Jiang◎Ghost Operations Billing 192% above state median for Medicare | 100 | View → |
| 31 | Mark Denzine◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 32 | Mack Green⚕Healthcare Inflated Per-Service Billing — High Avg Allowed Amount | 100 | View → |
| 33 | William Pace◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 34 | Nanlong Liu◎Ghost Operations Billing 392% above state median for Medicare | 100 | View → |
| 35 | Jason Edwards◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 36 | Carolyn Repke◎Ghost Operations Billing 673% above state median for Medicare | 100 | View → |
| 37 | Michelle Helgerson⚕Healthcare Inflated Per-Service Billing — High Avg Allowed Amount | 100 | View → |
| 38 | Mary Morrissette⚕Healthcare Inflated Per-Service Billing — High Avg Allowed Amount | 100 | View → |
| 39 | Dominic Pelle⚕Healthcare Billing 677% above state median for Medicare | 100 | View → |
| 40 | Haydee Soto⚕Healthcare High provider concentration in zip 07922 | 100 | View → |
| 41 | Matthew Huckaby⚕Healthcare Billing 277% above state median for Medicare | 100 | View → |
| 42 | Umbar Ghaffar⚕Healthcare Inflated Per-Service Billing — High Avg Allowed Amount | 100 | View → |
| 43 | Michelle Atchison◎Ghost Operations Billing 4302% above state median for Medicare | 100 | View → |
| 44 | Jose Penagaricano◎Ghost Operations Billing 269% above state median for Medicare | 100 | View → |
| 45 | Nicholas Halaby◎Ghost Operations Billing 1089% above state median for Medicare | 100 | View → |
| 46 | Sanjay Maraboyina◎Ghost Operations Billing 645% above state median for Medicare | 100 | View → |
| 47 | Bedro Jin◎Ghost Operations Extreme payment volume — top 1% nationally | 100 | View → |
| 48 | Ohio Cvs Stores Llc⚕Healthcare Billing 374% above state median for Medicare | 100 | View → |
| 49 | Ngum Kikah Atem◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 50 | Ashish Mathur◎Ghost Operations Billing 400% above state median for Medicare | 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.