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 | Robert Macdonald⚕Healthcare Inflated Per-Service Billing — High Avg Allowed Amount | 100 | View → |
| 2 | Debra Wegmiller◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 3 | Harrison Starnes◎Ghost Operations Billing 643% above state median for Medicare | 100 | View → |
| 4 | Zeshan Mudasir◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 5 | Robert Watson◎Ghost Operations Billing 782% above state median for Medicare | 100 | View → |
| 6 | Lin Deng◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 7 | Kenneth Plunkitt◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 8 | Vanessa Williams◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 9 | James Gitter⚕Healthcare Inflated Per-Service Billing — High Avg Allowed Amount | 100 | View → |
| 10 | Shilpi Ahmed⚕Healthcare High provider concentration in zip 21204 | 100 | View → |
| 11 | Adwaita Subhedar⚕Healthcare Inflated Per-Service Billing — High Avg Allowed Amount | 100 | View → |
| 12 | Jason Huang◎Ghost Operations Billing 300%+ above zip-code peers | 100 | View → |
| 13 | Michael Schuster◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 14 | Roger Pearse◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 15 | Seth Petross◎Ghost Operations Billing 572% above state median for Medicare | 100 | View → |
| 16 | Charles Addington◎Ghost Operations Billing 247% above state median for Medicare | 100 | View → |
| 17 | Anup Reddy◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 18 | Stefani Connel◎Ghost Operations Billing 568% above state median for Medicare | 100 | View → |
| 19 | Richard Martin◎Ghost Operations Billing 794% above state median for Medicare | 100 | View → |
| 20 | Shalin Shah◎Ghost Operations Billing 300%+ above zip-code peers | 100 | View → |
| 21 | Jan Ryszkowski◎Ghost Operations Billing 255% above state median for Medicare | 100 | View → |
| 22 | Mariano Chutuape⚕Healthcare Address Mill — High-Volume Shared Address | 100 | View → |
| 23 | Jihan Price⚕Healthcare Inflated Per-Service Billing — High Avg Allowed Amount | 100 | View → |
| 24 | Baha'adin Al-Jarani⚕Healthcare Inflated Per-Service Billing — High Avg Allowed Amount | 100 | View → |
| 25 | Robert Orlowski◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 26 | Tracy Hjelmstad⚕Healthcare Inflated Per-Service Billing — High Avg Allowed Amount | 100 | View → |
| 27 | Robert Pivec◎Ghost Operations Billing 680% above state median for Medicare | 100 | View → |
| 28 | Todd Perlstein◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 29 | Christopher Stephens◎Ghost Operations Billing 216% above state median for Medicare | 100 | View → |
| 30 | Jacob Harter◎Ghost Operations Billing 977% above state median for Medicare | 100 | View → |
| 31 | Shuler Phillips◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 32 | Alexander Barash◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 33 | Ryan Hampton◎Ghost Operations Billing 277% above state median for Medicare | 100 | View → |
| 34 | Chao Yin◎Ghost Operations Billing 300%+ above zip-code peers | 100 | View → |
| 35 | Steven Robbins◎Ghost Operations Billing 904% above state median for Medicare | 100 | View → |
| 36 | Sana Ali◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 37 | Ryan Buckner◎Ghost Operations Billing 315% above state median for Medicare | 100 | View → |
| 38 | Nathan Lee◎Ghost Operations Billing 1000% above state median for Medicare | 100 | View → |
| 39 | Leslie Harrell◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 40 | Charles Filipiak◎Ghost Operations Billing 468% above state median for Medicare | 100 | View → |
| 41 | Ali Hussein◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 42 | Donovan Yamada◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 43 | Erika Ugianskis⚕Healthcare Inflated Per-Service Billing — High Avg Allowed Amount | 100 | View → |
| 44 | Sreethy Saraswathy◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 45 | Dina Yazmajian◎Ghost Operations Billing 381% above state median for Medicare | 100 | View → |
| 46 | Diaa Bahgat◎Ghost Operations Billing 268% above state median for Medicare | 100 | View → |
| 47 | Jonathan Slusser◎Ghost Operations Billing 444% above state median for Medicare | 100 | View → |
| 48 | John Seyerle◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 49 | John Childs◎Ghost Operations Address Mill — High-Volume Shared Address | 100 | View → |
| 50 | Lynellen Gregory◎Ghost Operations Billing 300%+ above national average | 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.