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Data Sources: Centers for Medicare & Medicaid Services (CMS), Medicare Provider Utilization and Payment Data
Disclaimer: This site is an independent journalism project. Data analysis and editorial content are not affiliated with or endorsed by CMS or any government agency. All spending figures are based on publicly available Medicare payment records.
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    © 2026 OpenMedicare. Independent data journalism. Built by TheDataProject.ai

    Methodology•Download Data
    Data through 2023 · Updated February 2026

    Where $854B in Medicare Money Really Goes

    10 years of data. 1.7 million providers. AI-powered fraud detection.

    Explore $854.8B in Medicare payments (2014-2023). Our ML model, trained on 2,198 convicted fraudsters, flagged 500 providers who bill like criminals.

    Search providers, procedures, or locations...
    Advanced Provider Lookup →
    Start HereExplore ProvidersRead Investigations

    Our AI, trained on 2,198 confirmed fraudsters, found 500 providers who bill like convicted criminals but haven't been caught. $2.8B in COVID test billing. $5.5B in wound care. 4.6K providers with impossible volumes. See the fraud analysis →

    By the Numbers

    A decade of Medicare spending data at your fingertips

    📈
    $3.77×
    Average markup ratio
    Doctors charge nearly 4× what Medicare pays
    🤖
    500
    AI-flagged providers
    ML model trained on confirmed fraudsters
    📊
    10 years
    Of Medicare data
    Payment data analyzed (2014-2023)
    💰
    $854.8B
    Total payments
    In our database

    What We Found

    The most striking discoveries from our analysis

    413 services/day

    One nurse practitioner averaged 413 Medicare services per working day

    59× markup

    A Beverly Hills surgeon charges 59 times what Medicare pays for wound care

    $19.7 Billion

    One eye injection drug costs Medicare more than most agencies' budgets

    $94B in drugs

    Physician-administered drugs are Medicare's fastest-growing expense category

    🤖 Top AI-Flagged Providers

    Highest fraud probability scores from our ML model trained on confirmed fraudsters

    #1
    Ramesh Thimmiah
    Internal Medicine · WV
    95.9%
    fraud probability
    $788.7K payments
    #2
    Willie Lucas
    Internal Medicine · MS
    95.5%
    fraud probability
    $1.0M payments
    #3
    Michael Cozzi
    Anesthesiology · IN
    94.3%
    fraud probability
    $1.7M payments
    #4
    Frank Leung
    Endocrinology · IL
    95.7%
    fraud probability
    $601.8K payments
    #5
    John Daconti
    Internal Medicine · NJ
    94.9%
    fraud probability
    $547.0K payments

    🗺️ Most AI-Flagged Providers by State

    56
    CA
    flagged providers
    56
    FL
    flagged providers
    39
    NY
    flagged providers
    36
    TX
    flagged providers
    33
    NJ
    flagged providers
    View All 500 Flagged Providers
    Latest Investigation

    The Algorithm Knows

    How AI detects Medicare fraud before humans do — and what it means for healthcare oversight. Our model identified patterns invisible to traditional audits.

    Read the Investigation

    Medicare Spending by State

    AK
    ME
    WAMTNDMN
    WI
    MI
    NYVTNHMA
    ORIDSD
    IAINOHPANJCTRI
    NVWYNEIL
    WVVAMDDE
    CAUTCOKSMOKY
    NC
    DC
    AZNMOKARTNSC
    TXLAMSALGA
    HI
    FL
    Low
    High

    Featured Investigations

    Deep-dive analysis from our library of 68 data-driven investigations

    🤖 AI Analysis15 min read

    The Algorithm Knows

    Feb 2026

    How AI detects Medicare fraud before humans do — and what it means for healthcare oversight

    Read More
    🚨 ML Investigation18 min read

    Still Out There

    Feb 2026

    Our AI trained on 2,198 confirmed fraudsters found 500 providers with identical billing patterns still collecting from Medicare

    Read More
    Investigation16 min read

    The Florida Infectious Disease Ring

    Jan 2026

    A network of infectious disease providers in Florida billing Medicare millions with suspicious patterns

    Read More
    Investigation14 min read

    Three Providers, One Pattern

    Jan 2026

    How three unrelated providers across different states share eerily identical billing fingerprints

    Read More
    Deep Dive15 min read

    The Biggest Billers

    Jan 2026

    The providers collecting the most from Medicare — and what their billing reveals about the system

    Read More
    Analysis12 min read

    COVID's Impact on Medicare

    Dec 2025

    How the pandemic reshaped Medicare spending, telehealth, and fraud in ways that persist today

    Read More
    🔍 Investigation14 min read

    The Impossible Doctors

    Dec 2025

    Providers billing for more services per day than hours in a day — the math doesn't add up

    Read More
    Deep Dive16 min read

    The Oncology Drug Pipeline

    Nov 2025

    How cancer drugs became Medicare's biggest expense — and who profits from the pipeline

    Read More
    View All 68 Investigations

    Explore the Data

    Dive into Medicare spending from every angle

    👨‍⚕️

    Providers

    30,000+ Medicare providers with payment histories

    🏥

    Procedures

    Top 500 procedures with costs and provider data

    🗺️

    States

    All 50 states and territories compared

    🩺

    Specialties

    130+ specialties with spending breakdowns

    📈

    Markup Analysis

    What doctors charge vs. what Medicare pays

    📊

    Spending Trends

    10-year Medicare spending patterns

    💊

    Drug Spending

    $94B in physician-administered drug costs

    🔬

    All Tools & Data

    Calculator, comparisons, downloads, and more

    Stay Updated on Medicare Fraud

    New investigations published regularly. 59 articles and counting.

    Read InvestigationsFollow on GitHub

    Data Sources

    • • Centers for Medicare & Medicaid Services (CMS)
    • • Medicare Provider Utilization and Payment Data (2014-2023)
    • • Medicare Part B National Summary Data
    • • CMS National Health Expenditure Data

    Last Updated: February 2026 (data through 2023, the latest CMS release)

    Note: All data is from publicly available Medicare records. OpenMedicare is an independent journalism project not affiliated with CMS.