Medicare Fraud Statistics 2025
How much money does Medicare lose to fraud each year? Here are the numbers.
Key Medicare Fraud Statistics at a Glance
How Much Does Medicare Fraud Cost Taxpayers?
Medicare is the largest healthcare program in the United States, covering over 65 million Americans. In 2023 alone, Medicare Part B paid out approximately $94.4 billion to healthcare providers. Our analysis of 10 years of CMS data totals $854.8 billion in Medicare Part B payments.
The exact amount lost to fraud is impossible to know precisely — by definition, successful fraud goes undetected. But federal estimates paint a stark picture:
- CMS estimates a 3–10% improper payment rate across Medicare, which translates to $60–100 billion or more lost annually to fraud, waste, and abuse.
- The HHS Office of Inspector General (OIG) has called healthcare fraud “one of the most significant problems facing the Medicare program.”
- The National Health Care Anti-Fraud Association (NHCAA) estimates healthcare fraud costs the nation about $68 billion annually — and some estimates run as high as $230 billion.
“For every dollar spent fighting healthcare fraud, the government recovers approximately $4 in fraudulent payments.”
— U.S. Department of Justice, 2024
What Our AI Analysis Found
OpenMedicare trained a machine learning model on 8,300+ confirmed fraud cases from the OIG's List of Excluded Individuals/Entities (LEIE) and DOJ prosecution records. We then scored all 1.7 million active Medicare providers. The results:
- →500 providers flagged with high fraud probability scores (>85%)
- →$400 million+ in combined suspicious billing from flagged providers
- →53% of flagged providers were in Internal Medicine — the most fraud-prone specialty
- →5 states (CA, FL, TX, NY, NJ) accounted for over half of all flags
- →6+ flagged providers were subsequently charged by the DOJ — validating our model
Explore the full watchlist: View 500 Flagged Providers →
The Most Common Types of Medicare Fraud
Medicare fraud takes many forms. Here are the schemes that cost the program the most:
1. Phantom Billing
Billing for services never provided. This includes billing for patients who were never seen, ordering unnecessary lab tests, and charging for “ghost patients” who don't exist. Our analysis found 4,636 providers billing physically impossible service volumes.
2. Upcoding
Billing for a more expensive service than what was actually provided. A 15-minute office visit billed as a 40-minute comprehensive exam. Our upcoding detector found widespread patterns across the $117.7B office visit economy.
3. Kickbacks and Referral Schemes
Paying or receiving payment for patient referrals — illegal under the Anti-Kickback Statute. Common in lab testing, home health, and durable medical equipment. The $328M genetic testing scam revolved around kickbacks to recruiters.
4. Wound Care and Skin Substitute Fraud
HHS-OIG has called skin substitutes “particularly vulnerable to fraud.” The Arizona wound care ring billed $514 million for just 2,974 patients — and DOJ subsequently charged multiple providers.
5. COVID Test Billing Fraud
The pandemic created new fraud opportunities. The K1034 code for over-the-counter COVID tests was exploited by providers billing millions for tests patients never ordered. See our COVID test billing investigation.
Medicare Fraud Enforcement: By the Numbers
Federal enforcement has ramped up significantly in recent years:
| Metric | Figure |
|---|---|
| DOJ's largest healthcare fraud takedown (2024) | $14.6 billion |
| Defendants charged in 2024 takedown | 324 people |
| False Claims Act recoveries (FY 2024) | $6.8 billion |
| OIG exclusions (active) | ~78,000 individuals |
| Medicare Fraud Strike Force cities | 27 cities |
| Average ROI on anti-fraud spending | $4 recovered per $1 spent |
For a detailed breakdown of recent enforcement actions, see our 2024–2025 Fraud Enforcement Roundup.
A Brief History of Medicare Fraud
Medicare fraud is not new. It has been a persistent problem since the program's inception in 1965:
- 1990s: South Florida emerged as the “Medicare fraud capital” with HIV infusion clinics and durable medical equipment scams. At one point, Miami had more home health agencies than the rest of the country combined.
- 1997: Congress created the Medicare Fraud Strike Force in response to escalating fraud in South Florida.
- 2007–2016: Strike Force expanded to 9+ cities. DOJ reported $30+ billion in recoveries over the decade.
- 2020–2021: COVID-19 created unprecedented fraud opportunities — telehealth waivers, COVID testing schemes, and PPE scams.
- 2024: DOJ's largest-ever healthcare fraud takedown: $14.6 billion, 324 defendants across the country.
Despite decades of enforcement, fraud continues to grow alongside the program itself. As Medicare spending increases — projected to exceed $1 trillion annually within the decade — fraud losses will scale proportionally unless detection methods improve.
Where Medicare Fraud Happens Most
Medicare fraud is not evenly distributed. Certain states and metro areas consistently lead:
Top 5 States by AI-Flagged Providers
- California — 56 flags
- Florida — 56 flags
- New York — 39 flags
- Texas — 28 flags
- New Jersey — 18 flags
Historical Fraud Hotspots
- South Florida (Miami-Dade)
- Los Angeles, CA
- Houston, TX
- Brooklyn/Queens, NY
- Detroit, MI
Explore state-by-state data: The Fraud Belt: California and Florida | Interactive Fraud Map
What Can You Do About Medicare Fraud?
Medicare fraud affects every taxpayer. Here's how you can help:
- Check your Medicare Summary Notice (MSN) — review every service billed to your Medicare account and report anything you didn't receive.
- Look up your doctor — use our free provider lookup tool to check billing patterns.
- Report suspected fraud — call the OIG hotline at 1-800-HHS-TIPS or visit our fraud reporting guide.
- Know the signs — bills for services you didn't receive, being asked to share your Medicare number, providers who waive copays.
About This Data
Statistics in this article come from CMS Medicare Provider Utilization and Payment Data (2014–2023), HHS-OIG reports, DOJ press releases, and our own machine learning analysis. Our AI model was trained on confirmed fraud cases from the LEIE and DOJ prosecution records. Being flagged by our model does not mean a provider has committed fraud — it means their billing patterns statistically resemble those of convicted fraudsters. See our full methodology.