Statistical flags indicate unusual patterns — not proof of fraud or wrongdoing. Read our methodology

Data Journalism · 227M Records Analyzed

Insights

Deep-dive investigations into $1.09 trillion in Medicaid spending. Each story is built from 227 million billing records released by HHS.

Featured Investigations

Deep-dive reporting into the most striking patterns in the data.

The Arizona Problem: New Clinics, Massive Billing

46 new Arizona providers appeared in 2022+ and immediately billed over $800M combined. Many operated for less than a year. Phoenix dominates.

$800M+from new entrants
Read the full investigation

The New York Home Care Machine

New York dominates Medicaid personal care spending. Brooklyn alone has dozens of agencies billing $200M+ each. The top 100 T1019 billers: $47B+.

$47B+home care spending
Read the full investigation

Who Made the Most Money During COVID?

The City of Chicago went from $23M to $240M — a 942% increase. What were they billing for?

+942%biggest jump
Read the full investigation

The Hidden Billing Networks of Medicaid

65% of all claims have a different billing NPI than servicing NPI. Cleveland Clinic bills for 5,745 providers. 174,774 'ghost billers' never provide services.

65%via intermediary
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Impossible Billing Volume: 50+ Claims Per Day

200 providers file more than 50 claims per working day — some over 60,000. At that pace, each patient visit would last seconds.

60K+claims/day
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When the Numbers Don't Add Up: Benford's Law Analysis

Benford's Law predicts leading digit distribution in natural data. We tested 617K providers' claim amounts — 200 show statistically significant deviations.

200flagged providers
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Billing Behavior Shifts: When Providers Suddenly Change

CUSUM change point detection found 170 providers whose monthly billing shifted 3x+ overnight. The biggest jump: 113x — from $96K/month to $10.9M/month.

113xbiggest shift
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Multi-Method Detection: Providers Flagged by Multiple Systems

These providers were flagged by 2+ independent detection methods — statistical tests, Benford's Law, billing velocity, and change point detection. When multiple approaches agree, false positive probability drops dramatically.

442multi-method flags
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Geographic Risk Hotspots: Where Fraud Signals Concentrate

Some states have disproportionately more fraud signals per resident. Vermont (1.08 per 100K), DC (1.03), and Maine (1.00) lead per capita. Arizona is notable given our separate investigation.

1.08per 100K (VT)
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Round Number Billing: When Every Claim Ends in Zeros

100 providers submit heavy round-number claims — nearly 68,000 at exact dollar amounts like $500, $1,000, $2,500 — totaling $128M. Legitimate billing rarely produces round numbers.

68Kround claims
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America's Medicaid Fraud Capitals: City-Level Analysis

Brooklyn NY leads with 64 flagged providers and $13.7B in spending. NYC boroughs total 111 flags. Nashville averages $858M per flagged provider — the highest of any city.

64Brooklyn flags
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Spending Deep Dives

Where does $1.09 trillion actually go? Follow the money through specific codes and categories.

Provider Analysis

Who bills, how much, and what patterns emerge across 617,000+ providers.

Risk Watchlist Highlights

Most Suspicious Providers

The most concerning cases from our unified risk system. These providers triggered 3 or more independent anomaly flags, or scored extremely high on our ML fraud detection model.

SRH CHN Lead Health Home LLC

CRITICAL

New York (NY) · NPI: 1750053948 · Case Management

$239.0M

total spending

Appeared in 2022 and already billed $239.0M — one of the fastest-growing new entrants in the dataset. Spending changed by 209% between 2022–2023, an unusual swing of $72.5M.

Cost OutlierBilling SwingNew EntrantRate Outlier

City of Chicago

CRITICAL

Illinois (IL) · NPI: 1376554592 · Ambulance

$1.23B

total spending

Spending changed by 706% between 2019–2020, an unusual swing of $162.6M. Bills 12.6× the national median for A0429 (Ambulance, BLS emergency transport).

Cost OutlierBilling SwingRate Outlier

Community Assistance Resources & Extended Services INC

CRITICAL

New York (NY) · NPI: 1396049987 · Case Management

$1.04B

total spending

Spending changed by 6886% between 2020–2021, an unusual swing of $111.0M. Bills 4.5× the national median for H2014 (Skills training & development, per 15 min).

Cost OutlierBilling SwingRate Outlier

Montefiore Medical Center

CRITICAL

New York (NY) · NPI: 1952476988 · General Acute Care Hospital

$961.1M

total spending

Spending changed by 209% between 2018–2019, an unusual swing of $50.4M. Bills 3.1× the national median for 99214 (Office/outpatient visit, est. patient, mod-high complexity).

Cost OutlierBilling SwingRate Outlier

Sun River Health Inc.

CRITICAL

New York (NY) · NPI: 1619969458 · Clinic/Center Federally Qualified Health Center (FQHC)

$546.5M

total spending

Spending changed by 274% between 2018–2019, an unusual swing of $56.4M. Bills 4.5× the national median for 90832 (Psychotherapy, 30 minutes).

Cost OutlierBilling SwingRate Outlier

The New York and Presbyterian Hospital

CRITICAL

New York (NY) · NPI: 1194832477 · General Acute Care Hospital

$454.9M

total spending

Spending changed by 217% between 2018–2019, an unusual swing of $22.3M. Bills 5× the national median for 99213 (Office/outpatient visit, est. patient, low-mod complexity).

Cost OutlierBilling SwingRate Outlier

Coordinated Behavioral Care INC

CRITICAL

New York (NY) · NPI: 1730451071 · Case Management

$407.2M

total spending

Spending changed by 1443% between 2018–2019, an unusual swing of $18.4M. Bills 6.5× the national median for G9005 (Coordinated care fee, risk-adjusted, ESRD).

Cost OutlierBilling SwingRate Outlier

The Collaborative for Children and Families

CRITICAL

New York (NY) · NPI: 1417349622 · Case Manager/Care Coordinator

$347.3M

total spending

Spending changed by 245% between 2019–2020, an unusual swing of $22.3M. Bills 3.1× the national median for T2022 (Case management, per month).

Cost OutlierBilling SwingRate Outlier
Machine Learning Detection

Small Provider Fraud Spotlight

Fraud isn't just about big billers. Our ML model identified small providers whose billing patterns closely match confirmed fraud cases from the OIG exclusion list. These providers bill between $10K and $1M but score higher than many $100M+ organizations.

About these scores: Our random forest model was trained on features from 594,234 providers and validated against the HHS-OIG exclusion list. A score above 85% means the provider's billing patterns are statistically similar to providers who were later excluded for fraud. This is not proof of fraud — it's a signal that warrants closer inspection.

Submit a Tip

Know something about a flagged provider? Have data we should look at? Get in touch.

kian@thedataproject.ai

All tips are confidential. Whistleblower protections exist under the False Claims Act.