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 | Thomas Youm◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 2 | Vijai Daniel⚕Healthcare Inflated Per-Service Billing — High Avg Allowed Amount | 100 | View → |
| 3 | Rachel Hinds◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 4 | Ori Barzilai◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 5 | Ron Benjamin◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 6 | Maranatha Ayodele⚕Healthcare Deceased/High-Mortality Beneficiary Billing Pattern | 100 | View → |
| 7 | Herman Gleicher◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 8 | Connie Horne◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 9 | Sunit Srivastava◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 10 | Jacob Peacock◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 11 | Btdi Jv Llp⚕Healthcare Inflated Per-Service Billing — High Avg Allowed Amount | 100 | View → |
| 12 | Karen Kan◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 13 | Yuliya Rozenberg◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 14 | Jun Yang⚕Healthcare High provider concentration in zip 91801 | 100 | View → |
| 15 | George Nassif⚕Healthcare Inflated Per-Service Billing — High Avg Allowed Amount | 100 | View → |
| 16 | Manuel Bustamante◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 17 | Haroon Rashid◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 18 | Jason Blackmer◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 19 | Mohamed Morsy◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 20 | Renee Doll◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 21 | Michael Mcgriff◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 22 | Heather Straight◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 23 | Michael Herman◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 24 | Ami Negandhi◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 25 | Kyle Smith⚕Healthcare Address Mill — High-Volume Shared Address | 100 | View → |
| 26 | Abraham Sanders◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 27 | Joseph Donovan◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 28 | Muhammad Hussain◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 29 | Robert Plachy◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 30 | Korie Rego◎Ghost Operations Billing 169% above state median for Medicare | 100 | View → |
| 31 | Christopher Manees◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 32 | Mark Albey⚕Healthcare Inflated Per-Service Billing — High Avg Allowed Amount | 100 | View → |
| 33 | Connie Powell⚕Healthcare Inflated Per-Service Billing — High Avg Allowed Amount | 100 | View → |
| 34 | Charles Wainaina⚕Healthcare Inflated Per-Service Billing — High Avg Allowed Amount | 100 | View → |
| 35 | Alexander Moore◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 36 | Stacey Stinger◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 37 | Brian Planchard◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 38 | Shervin Sarmad◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 39 | Sampath Manickam◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 40 | Ahilan Sivaganesan◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 41 | Kellie Bassion◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 42 | Rajiv Badal◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 43 | Jack Mckay◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 44 | David Hak◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 45 | Brian Bishop◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 46 | Krishna Sury◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 47 | Douglas Scherr◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 48 | Grace Maloney◎Ghost Operations Billing 300%+ above zip-code peers | 100 | View → |
| 49 | Reju George◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 50 | Mack Green⚕Healthcare High provider concentration in zip 92307 | 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.