Doge
4 articles
What Billing Patterns Actually Look Like - Too Early To Say
Fraud-excluded providers bill at more than double the non-excluded rate. Billing intensity is the signal; label contamination and proxy variable bias are the noise.
What 227 Million Rows of Medicaid Data Can and Can't Tell Us - Too Early To Say
The DOGE-released Medicaid dataset has 227 million rows and 7 columns. Here's what it contains, what's missing, and why the gap matters.
Can a Classifier Find What Investigators Miss? - Too Early To Say
A prospective classifier captures 1 in 4 future fraud exclusions from billing intensity alone. The signal is fraud-specific.
The Label That Isn't: Why "Excluded" Doesn't Mean "Fraudulent" - Too Early To Say
40% of LEIE exclusions are license revocations, not fraud. Why the federal exclusion list is a contaminated label for detection.