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Total Claims
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Medicaid billing records
Unique Providers
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Billing NPI numbers
High Risk
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Z-score > 5
Self-Referral Rate
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Billing = Servicing NPI

๐ŸŽฏ Risk Distribution

๐Ÿ’ฐ Payment Distribution

๐Ÿšจ Top Suspicious Providers

๐Ÿ“ Benford's Law

๐Ÿฅ Top HCPCS Procedure Codes

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Fraud Investigation AI

Ask questions about 227M+ Medicaid claims across 617K+ providers

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I'm your Medicaid Fraud Detection AI analyst. I have access to the full dataset of 227 million+ claims across 617,500+ providers.

You can ask me things like:

  • "Which providers show the strongest fraud indicators?"
  • "Explain why NPI 1234567890 is flagged as high risk"
  • "What HCPCS codes are most associated with fraud?"
  • "Show me providers with unusual billing spikes"
  • "What does the Benford's Law analysis tell us?"

Provider Explorer

๐Ÿง 

Document AI + RAG Pipeline

Google Document AI Layout Parser โ†’ Embeddings โ†’ Vector Search โ†’ Gemini Augmented Generation

โ€” Indexed Chunks
โ€” Documents
โ€” Embedding Model
โ€” Generation Model
๐Ÿ“„Parse PDF
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โœ‚๏ธChunk
โ†’
๐ŸงฎEmbed
โ†’
โ†’
โœจGenerate

๐Ÿ” Ask Questions (RAG Search)

Your question is embedded, matched against document chunks via vector search, then Gemini generates an answer from the most relevant context.

๐Ÿ“„ Process Documents

๐Ÿ“Š Raw Data Explorer

Browse the Medicaid Provider Spending dataset โ€” 227M+ records, 617K+ providers

โ˜๏ธ gs://frauds/medicaid-provider-spending.csv โฌ‡ Download Full CSV (11GB)
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๐Ÿงฌ HCPCS Code Anomalies

Upcoding and unbundling signals from provider-by-code payment behavior

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๐Ÿงฉ Unbundling Signals

Run python analyze_codes.py to generate unbundling signals.

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Geographic Fraud Analysis

NPI Registry enrichment + Google Search Grounding โ€” real provider locations & fraud intelligence

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ENRICHED PROVIDERS
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STATES COVERED
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ZIP HOTSPOTS
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GROUNDING SOURCES

๐Ÿ—บ๏ธ Fraud by State

๐Ÿ”ฅ Zip Code Hotspots

Areas with concentrated suspicious billing from multiple providers

๐Ÿ“‹ Provider Registry Data

NPI Provider Name City State Zip Total Paid Specialty Risk

๐Ÿ” Google Search Grounded Investigation

Real-world fraud intelligence from Google Search โ€” news, OIG exclusions, DOJ actions

๐ŸŒ Live Grounded Search

Ask questions about fraud providers โ€” backed by real-time Google Search

NY fraud cases OIG exclusions Biggest settlements Home health fraud
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NJ Providers Analyzed
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Total NJ Medicaid Paid
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CRITICAL Risk
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HIGH Risk
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Investigated (Grounded)
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Google Sources Found

๐Ÿ—ฝ NJ High-Risk Providers

๐Ÿšจ Debarment Cross-Match โ€” Post-Exclusion Fraud

Cross-matched the NJ debarment/exclusion list against 227M Medicaid claims to find providers who billed after being excluded.

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Total Debarred Providers
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Found in Claims Data
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Post-Exclusion Offenders
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Post-Exclusion $ Paid

๐Ÿ”ด Post-Exclusion Offenders โ€” Billing After Debarment

๐Ÿ“Š Cross-Match Severity Distribution

๐Ÿ“‹ NJ Debarment List ( Providers)

๐Ÿ” NJ Fraud Intelligence Search

NJ AG Actions Care Finders Home Health Fraud Post-Exclusion Billing

๐ŸŽฏ Culprit Dossiers โ€” Suspect Investigation

Deep investigation of every suspect: NPI registry, Google Search OSINT, business entity research, and prosecution-ready evidence packages.

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SUSPECTS INVESTIGATED
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FEDERAL CRIMES
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TOTAL FRAUD EXPOSURE
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OSINT SOURCES

๐Ÿ”ด Suspect Dossier Table

โš–๏ธ Prosecution Report & Reporting Guide

Attorney General-quality prosecution brief with specific charges, reporting contacts, evidence preservation, and estimated financial impact.

๐Ÿ›๏ธ Federal Reporting

OIG Hotline: 1-800-HHS-TIPS
OIG Online: tips.oig.hhs.gov
FBI Newark: (973) 792-3000
FBI Tips: tips.fbi.gov

๐Ÿ—ฝ NJ State Reporting

NJ AG MFCU: (609) 292-8740
Email: medicaidfraud@njoag.gov
NJ DMAHS: Provider Enrollment
Medical Examiners: License Board

๐Ÿ’ฐ Whistleblower (Qui Tam)

False Claims Act 31 U.S.C. ยง 3729
Recovery: 15-30% of recovered funds
Protection: Anti-retaliation law
Treble damages + per-claim penalties

๐Ÿ“„ NJ Deep Dive Report (Original)

๐Ÿ›ก๏ธ PUBLIC TRANSPARENCY REPORT

Where Are Your Tax Dollars Going?

Our AI analyzed thousands of healthcare providers โ€” and found alarming patterns of Medicaid fraud that could affect your community.

How Did We Find This?

1

Data Collection

Analyzed 227 million+ Medicaid billing records from CMS

2

AI Statistical Analysis

Detected anomalies using z-scores and Benford's Law

3

Identity Verification

Verified each provider through NPI National Registry

4

Deep OSINT Investigation

Automated Google Search for public fraud information

5

Prosecution Report

AG-quality prosecution brief generated for authorities

Search Your Area

Find out if there are flagged healthcare providers near you. Enter your zip code, city, or state.

Ask Our AI

Have questions about Medicaid fraud? Ask our AI in plain English โ€” it knows all the findings from our investigation.

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๐Ÿ‘‹ Hi! I'm here to help you understand our Medicaid fraud investigation. You can ask me things like:

  • "What did you find?"
  • "Are there any flagged providers in New Jersey?"
  • "What is a z-score?"
  • "How do I report suspected fraud?"
  • "Explain the worst offenders"

Report Suspected Fraud

If you suspect Medicaid fraud, you can report it anonymously. Whistleblowers may receive 15-30% of recovered funds.

๐Ÿ›๏ธ

Federal Reporting

OIG Hotline1-800-HHS-TIPS
FBI Newark(973) 792-3000
FBI Tipstips.fbi.gov
๐Ÿ—ฝ

NJ State Reporting

NJ AG MFCU(609) 292-8740
NJ DMAHSProvider Enrollment
๐Ÿ’ฐ

Whistleblower (Qui Tam)

False Claims Act31 U.S.C. ยง 3729
Recovery15-30% of funds
ProtectionAnti-retaliation law

Disclaimer: This platform presents data analysis findings from publicly available CMS Medicaid payment data. These findings do not constitute legal conclusions. All individuals and organizations are presumed innocent until proven otherwise through proper legal proceedings.