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    <title>OpenMedicaid — Investigations</title>
    <link>https://openmedicaid.org</link>
    <description>Data-driven investigations into $1.09 trillion in Medicaid spending</description>
    <language>en-us</language>
    <lastBuildDate>Thu, 19 Feb 2026 12:00:00 GMT</lastBuildDate>
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      <title><![CDATA[The $1.5 Billion COVID Vaccine Machine]]></title>
      <link>https://openmedicaid.org/insights/covid-vaccines</link>
      <description><![CDATA[How COVID vaccine administration became one of Medicaid's largest spending categories overnight.]]></description>
      <pubDate>Thu, 19 Feb 2026 12:00:00 GMT</pubDate>
      <guid>https://openmedicaid.org/insights/covid-vaccines</guid>
    </item>
    <item>
      <title><![CDATA[The $4.7 Billion COVID Testing Bonanza]]></title>
      <link>https://openmedicaid.org/insights/covid-testing</link>
      <description><![CDATA[Tracking the surge in COVID testing billing across Medicaid providers nationwide.]]></description>
      <pubDate>Thu, 19 Feb 2026 12:00:00 GMT</pubDate>
      <guid>https://openmedicaid.org/insights/covid-testing</guid>
    </item>
    <item>
      <title><![CDATA[Who Made the Most Money During COVID?]]></title>
      <link>https://openmedicaid.org/insights/pandemic-profiteers</link>
      <description><![CDATA[Identifying the providers who saw the biggest billing increases during the pandemic.]]></description>
      <pubDate>Thu, 19 Feb 2026 12:00:00 GMT</pubDate>
      <guid>https://openmedicaid.org/insights/pandemic-profiteers</guid>
    </item>
    <item>
      <title><![CDATA[The 50 Most Expensive Medicaid Procedures]]></title>
      <link>https://openmedicaid.org/insights/most-expensive</link>
      <description><![CDATA[A look at the costliest procedure codes driving Medicaid spending.]]></description>
      <pubDate>Thu, 19 Feb 2026 12:00:00 GMT</pubDate>
      <guid>https://openmedicaid.org/insights/most-expensive</guid>
    </item>
    <item>
      <title><![CDATA[The Fastest-Growing Medicaid Spending Categories]]></title>
      <link>https://openmedicaid.org/insights/fastest-growing</link>
      <description><![CDATA[Which procedure categories saw the steepest spending increases from 2018 to 2024.]]></description>
      <pubDate>Thu, 19 Feb 2026 12:00:00 GMT</pubDate>
      <guid>https://openmedicaid.org/insights/fastest-growing</guid>
    </item>
    <item>
      <title><![CDATA[Where Are the Doctors? Individual vs Organizational Billing]]></title>
      <link>https://openmedicaid.org/insights/top-doctors</link>
      <description><![CDATA[How organizational billing entities dominate Medicaid spending over individual physicians.]]></description>
      <pubDate>Thu, 19 Feb 2026 12:00:00 GMT</pubDate>
      <guid>https://openmedicaid.org/insights/top-doctors</guid>
    </item>
    <item>
      <title><![CDATA[Specialty Spending Breakdown: Where $1 Trillion Goes]]></title>
      <link>https://openmedicaid.org/insights/specialty-breakdown</link>
      <description><![CDATA[Breaking down Medicaid spending by provider specialty across 617,000+ providers.]]></description>
      <pubDate>Thu, 19 Feb 2026 12:00:00 GMT</pubDate>
      <guid>https://openmedicaid.org/insights/specialty-breakdown</guid>
    </item>
    <item>
      <title><![CDATA[The Arizona Problem: New Clinics, Massive Billing]]></title>
      <link>https://openmedicaid.org/insights/arizona-problem</link>
      <description><![CDATA[Why Arizona stands out for new provider entities billing millions immediately.]]></description>
      <pubDate>Thu, 19 Feb 2026 12:00:00 GMT</pubDate>
      <guid>https://openmedicaid.org/insights/arizona-problem</guid>
    </item>
    <item>
      <title><![CDATA[The New York Home Care Machine]]></title>
      <link>https://openmedicaid.org/insights/ny-home-care</link>
      <description><![CDATA[New York's home care spending dwarfs every other state — here's the data.]]></description>
      <pubDate>Thu, 19 Feb 2026 12:00:00 GMT</pubDate>
      <guid>https://openmedicaid.org/insights/ny-home-care</guid>
    </item>
    <item>
      <title><![CDATA[Medicaid's Most Expensive Drugs]]></title>
      <link>https://openmedicaid.org/insights/specialty-drugs</link>
      <description><![CDATA[The specialty drugs costing Medicaid billions per year.]]></description>
      <pubDate>Thu, 19 Feb 2026 12:00:00 GMT</pubDate>
      <guid>https://openmedicaid.org/insights/specialty-drugs</guid>
    </item>
    <item>
      <title><![CDATA[Most Patients: Who Bills for the Most Beneficiaries]]></title>
      <link>https://openmedicaid.org/insights/most-patients</link>
      <description><![CDATA[Which providers serve — or bill for — the most Medicaid beneficiaries.]]></description>
      <pubDate>Thu, 19 Feb 2026 12:00:00 GMT</pubDate>
      <guid>https://openmedicaid.org/insights/most-patients</guid>
    </item>
    <item>
      <title><![CDATA[Impossible Billing Volume: 50+ Claims Per Day]]></title>
      <link>https://openmedicaid.org/insights/impossible-volume</link>
      <description><![CDATA[Providers submitting humanly impossible numbers of daily claims.]]></description>
      <pubDate>Thu, 19 Feb 2026 12:00:00 GMT</pubDate>
      <guid>https://openmedicaid.org/insights/impossible-volume</guid>
    </item>
    <item>
      <title><![CDATA[When the Numbers Don't Add Up: Benford's Law]]></title>
      <link>https://openmedicaid.org/insights/benford-analysis</link>
      <description><![CDATA[Applying Benford's Law to detect anomalous billing digit patterns.]]></description>
      <pubDate>Thu, 19 Feb 2026 12:00:00 GMT</pubDate>
      <guid>https://openmedicaid.org/insights/benford-analysis</guid>
    </item>
    <item>
      <title><![CDATA[Billing Behavior Shifts: When Providers Suddenly Change]]></title>
      <link>https://openmedicaid.org/insights/change-points</link>
      <description><![CDATA[Detecting abrupt changes in provider billing patterns over time.]]></description>
      <pubDate>Thu, 19 Feb 2026 12:00:00 GMT</pubDate>
      <guid>https://openmedicaid.org/insights/change-points</guid>
    </item>
    <item>
      <title><![CDATA[Copycat Billers: Nearly Identical Patterns]]></title>
      <link>https://openmedicaid.org/insights/billing-similarity</link>
      <description><![CDATA[Finding providers with suspiciously similar billing profiles.]]></description>
      <pubDate>Thu, 19 Feb 2026 12:00:00 GMT</pubDate>
      <guid>https://openmedicaid.org/insights/billing-similarity</guid>
    </item>
    <item>
      <title><![CDATA[Multi-Method Detection: Highest Confidence Flags]]></title>
      <link>https://openmedicaid.org/insights/highest-confidence</link>
      <description><![CDATA[Providers flagged by multiple independent detection methods simultaneously.]]></description>
      <pubDate>Thu, 19 Feb 2026 12:00:00 GMT</pubDate>
      <guid>https://openmedicaid.org/insights/highest-confidence</guid>
    </item>
    <item>
      <title><![CDATA[Geographic Risk Hotspots]]></title>
      <link>https://openmedicaid.org/insights/geographic-hotspots</link>
      <description><![CDATA[Mapping the states and regions with the highest concentrations of flagged providers.]]></description>
      <pubDate>Thu, 19 Feb 2026 12:00:00 GMT</pubDate>
      <guid>https://openmedicaid.org/insights/geographic-hotspots</guid>
    </item>
    <item>
      <title><![CDATA[The Middlemen: Who Bills on Behalf of Others?]]></title>
      <link>https://openmedicaid.org/insights/billing-networks</link>
      <description><![CDATA[Examining billing intermediaries and organizational billing patterns.]]></description>
      <pubDate>Thu, 19 Feb 2026 12:00:00 GMT</pubDate>
      <guid>https://openmedicaid.org/insights/billing-networks</guid>
    </item>
    <item>
      <title><![CDATA[Round Number Billing]]></title>
      <link>https://openmedicaid.org/insights/round-numbers</link>
      <description><![CDATA[Providers whose billing amounts cluster suspiciously around round numbers.]]></description>
      <pubDate>Thu, 19 Feb 2026 12:00:00 GMT</pubDate>
      <guid>https://openmedicaid.org/insights/round-numbers</guid>
    </item>
    <item>
      <title><![CDATA[Solo Operators: Providers Billing $5M+ Themselves]]></title>
      <link>https://openmedicaid.org/insights/self-billers</link>
      <description><![CDATA[Individual providers billing millions without organizational backing.]]></description>
      <pubDate>Thu, 19 Feb 2026 12:00:00 GMT</pubDate>
      <guid>https://openmedicaid.org/insights/self-billers</guid>
    </item>
    <item>
      <title><![CDATA[From $109B to $199B: How Spending Nearly Doubled]]></title>
      <link>https://openmedicaid.org/insights/spending-growth</link>
      <description><![CDATA[Tracing Medicaid spending growth from 2018 to 2024.]]></description>
      <pubDate>Thu, 19 Feb 2026 12:00:00 GMT</pubDate>
      <guid>https://openmedicaid.org/insights/spending-growth</guid>
    </item>
    <item>
      <title><![CDATA[America's Medicaid Fraud Capitals]]></title>
      <link>https://openmedicaid.org/insights/city-hotspots</link>
      <description><![CDATA[The cities with the highest density of statistically flagged providers.]]></description>
      <pubDate>Thu, 19 Feb 2026 12:00:00 GMT</pubDate>
      <guid>https://openmedicaid.org/insights/city-hotspots</guid>
    </item>
    <item>
      <title><![CDATA[Suspiciously Smooth Billers]]></title>
      <link>https://openmedicaid.org/insights/smooth-billers</link>
      <description><![CDATA[Providers with unnaturally consistent billing patterns that defy normal variation.]]></description>
      <pubDate>Thu, 19 Feb 2026 12:00:00 GMT</pubDate>
      <guid>https://openmedicaid.org/insights/smooth-billers</guid>
    </item>
    <item>
      <title><![CDATA[Dual Billing Patterns]]></title>
      <link>https://openmedicaid.org/insights/dual-billing</link>
      <description><![CDATA[Investigating providers exhibiting dual billing pattern anomalies.]]></description>
      <pubDate>Thu, 19 Feb 2026 12:00:00 GMT</pubDate>
      <guid>https://openmedicaid.org/insights/dual-billing</guid>
    </item>
    <item>
      <title><![CDATA[Minnesota: America's Medicaid Fraud Capital]]></title>
      <link>https://openmedicaid.org/insights/minnesota-fraud-capital</link>
      <description><![CDATA[Minnesota has 4x its population share of fraud-heavy exclusions, the $250M Feeding Our Future scandal, and housing fraud so bad they shut the entire program down.]]></description>
      <pubDate>Thu, 19 Feb 2026 12:00:00 GMT</pubDate>
      <guid>https://openmedicaid.org/insights/minnesota-fraud-capital</guid>
    </item>
    <item>
      <title><![CDATA[Exposed: Cares Inc.]]></title>
      <link>https://openmedicaid.org/insights/cares-inc-exposed</link>
      <description><![CDATA[Deep dive into a flagged provider with unusual billing patterns.]]></description>
      <pubDate>Thu, 19 Feb 2026 12:00:00 GMT</pubDate>
      <guid>https://openmedicaid.org/insights/cares-inc-exposed</guid>
    </item>
    <item>
      <title><![CDATA[Exposed: City of Chicago]]></title>
      <link>https://openmedicaid.org/insights/chicago-exposed</link>
      <description><![CDATA[How the City of Chicago went from $23M to $240M in Medicaid billing — a 942% increase.]]></description>
      <pubDate>Thu, 19 Feb 2026 12:00:00 GMT</pubDate>
      <guid>https://openmedicaid.org/insights/chicago-exposed</guid>
    </item>
    <item>
      <title><![CDATA[Exposed: SRH CHN Lead Health Home]]></title>
      <link>https://openmedicaid.org/insights/srh-chn-exposed</link>
      <description><![CDATA[The $239M health home with 4 independent risk flags.]]></description>
      <pubDate>Thu, 19 Feb 2026 12:00:00 GMT</pubDate>
      <guid>https://openmedicaid.org/insights/srh-chn-exposed</guid>
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