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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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Methodology•Download Data

⚠️ Important Context

All data on this page comes from publicly available CMS Medicare payment records. Unusual billing patterns may reflect legitimate medical practices (such as high-volume drug administration where each unit is counted as a separate service), data reporting differences, or group practice billing. Inclusion on this page does not constitute an accusation of fraud or wrongdoing. Only law enforcement and regulatory agencies can determine whether billing patterns represent fraud. Providers flagged by our statistical model have billing patterns similar to previously convicted providers, but many may have perfectly legitimate explanations.

  1. Home
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  3. Medicare vs Medicaid Fraud
Explainer

Medicare vs Medicaid Fraud

America's two largest healthcare programs. Both plagued by fraud. But the schemes, scale, and oversight couldn't be more different.

February 23, 2026
11 min read
By OpenMedicare Investigative Team
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Two Programs, Two Systems, Two Fraud Problems

Medicare and Medicaid were both created in 1965, but they serve different populations, are funded differently, and attract different types of fraud. Understanding the distinction matters — because the solutions are different too.

MedicareMedicaid
Who it coversAdults 65+, some disabledLow-income individuals & families
Beneficiaries~65 million~90 million
Annual spending~$900 billion (all parts)~$800 billion (federal + state)
Funded byFederal government (100%)Federal + state (shared)
Administered byCMS (centralized)Each state individually
Est. fraud rate3–10%5–10%+
Est. annual fraud$60–100 billion$40–80 billion

“Combined, Medicare and Medicaid fraud may cost American taxpayers $100–180 billion every year — more than the entire GDP of most countries.”

How Medicare Fraud Works

Medicare fraud is primarily provider-driven. Doctors, clinics, labs, and medical equipment companies bill the federal government for services that were never provided, were unnecessary, or were upcoded to more expensive categories.

Most Common Medicare Fraud Schemes

Phantom billing: Billing for services never rendered. Our AI found 4,636 providers billing physically impossible volumes — up to 9,862 services per day.

Upcoding: Billing a higher-cost code than the service provided. The $117.7B office visit economy is ripe for this.

Kickback schemes: Paying for patient referrals, common in lab testing and durable medical equipment. The $328M genetic testing scam is a prime example.

Skin substitute/wound care fraud: DOJ's top target. The Arizona wound care ring billed $514M for 2,974 patients.

COVID test billing fraud: The pandemic created new opportunities — providers billing millions for tests patients never ordered.

Because Medicare is centrally administered by CMS with standardized billing codes, it is possible to analyze patterns across the entire system — which is exactly what our AI model does.

How Medicaid Fraud Works

Medicaid fraud operates differently because the program itself is structured differently. Medicaid is jointly funded by federal and state governments, with each state running its own program. This decentralization creates unique vulnerabilities:

Most Common Medicaid Fraud Schemes

Personal care attendant fraud: Billing for home care services never provided. Medicaid's large home care component makes this a major vector — caregivers billing for shifts they never worked.

Pharmacy fraud: Dispensing cheaper generic drugs while billing for expensive brand-names. Medicaid's prescription drug benefit is a significant target.

Beneficiary fraud: Unlike Medicare (which is age-based), Medicaid eligibility is income-based — making it vulnerable to people misrepresenting their income to obtain coverage.

Managed care fraud: Most Medicaid beneficiaries are enrolled in managed care plans. Fraud includes inflating enrollment numbers, cherry-picking healthy patients, and denying care to reduce costs.

Transportation fraud: Medicaid covers non-emergency medical transportation — and billing for fake rides is a growing problem in many states.

5 Key Differences Between Medicare and Medicaid Fraud

1. Who Commits the Fraud

Medicare fraud is overwhelmingly provider-driven — doctors, labs, and clinics gaming the billing system. Medicaid fraud includes significant beneficiary fraud (eligibility fraud) alongside provider schemes, plus fraud by managed care organizations.

2. Scale Per Scheme

Medicare fraud tends to involve larger dollar amounts per case because Medicare reimbursement rates are higher. A single Medicare fraud scheme can involve hundreds of millions of dollars. Medicaid fraud often involves more cases at lower dollar amounts — death by a thousand cuts.

3. Oversight Structure

Medicare is federally administered — one system, one set of rules, one database. This makes systemic analysis possible (and is why OpenMedicare can analyze all 1.7M providers). Medicaid is run by 50 different state programs with 50 different systems, making cross-state analysis nearly impossible.

4. Data Transparency

Medicare billing data is publicly available through CMS, which is how OpenMedicare exists. Medicaid data is fragmented across states — some states publish data, many don't. This makes Medicaid fraud harder to detect and analyze at scale.

5. Geographic Patterns

Medicare fraud concentrates in Sun Belt states — Florida, California, Texas — with high elderly populations and historical fraud infrastructure. Medicaid fraud follows population and poverty patterns, with significant issues in states that expanded Medicaid under the ACA.

Where Medicare and Medicaid Fraud Overlap

Despite their differences, the two programs share some fraud vectors:

  • Dual-eligible beneficiaries: About 12 million Americans are enrolled in both Medicare and Medicaid. Providers can bill both programs for the same patient — sometimes fraudulently double-billing.
  • Anti-Kickback Statute: Applies to both programs. Kickback schemes often target both Medicare and Medicaid simultaneously.
  • OIG exclusions: A provider excluded from one program is automatically excluded from both. The LEIE database covers both.
  • False Claims Act: The federal government's primary tool for recovering fraud losses applies to both programs, with whistleblower rewards of 15–30%.

Enforcement: Who Fights Each Type of Fraud?

Medicare Fraud Enforcement

  • • DOJ Healthcare Fraud Unit
  • • Medicare Fraud Strike Force (27 cities)
  • • HHS Office of Inspector General
  • • CMS Center for Program Integrity
  • • FBI Healthcare Fraud Division

Medicaid Fraud Enforcement

  • • State Medicaid Fraud Control Units (MFCUs)
  • • State Attorneys General
  • • HHS Office of Inspector General
  • • DOJ (for federal share)
  • • State-level inspectors general

The fragmented nature of Medicaid enforcement — spread across 50 state agencies — is one reason why Medicaid fraud detection lags behind Medicare. Federal authorities can analyze all of Medicare in one database; Medicaid requires coordination with each individual state.

How We're Tackling Both

OpenMedicare focuses on Medicare fraud because the data is centralized and publicly available. But we're expanding:

🔵 OpenMedicare

$854.8B in Medicare Part B data. 1.7M providers. 500 AI-flagged for fraud patterns.

Explore Medicare Data →

🟢 OpenMedicaid

Coming soon: state-by-state Medicaid spending analysis, provider data, and fraud detection.

Visit OpenMedicaid →

The Bottom Line

Medicare and Medicaid fraud are both massive problems, but they require different solutions. Medicare's centralized structure makes it amenable to AI-driven detection (which is what we do). Medicaid's fragmentation across 50 states makes it harder to analyze at scale — but not impossible. Together, these two programs lose an estimated $100–180 billion annually to fraud, waste, and abuse. Better data transparency and modern detection tools can help recover a significant portion of that.

Data Sources

  • • Centers for Medicare & Medicaid Services (CMS)
  • • HHS Office of Inspector General (OIG)
  • • U.S. Department of Justice — Healthcare Fraud Enforcement
  • • National Association of Medicaid Directors
  • • Government Accountability Office (GAO) — High-Risk Series
  • • OpenMedicare AI Fraud Detection Model

Last Updated: February 2026

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