Flagged by Design: How Medicaid's Automated Audit Machinery Disproportionately Targets Low-Income Beneficiaries
Algorithmic fraud-detection systems embedded in Medicaid claims processing infrastructure systematically over-flag healthcare utilization patterns common among economically disadvantaged populations, effectively transforming a compliance mechanism into a tool of socioeconomic surveillance. Published audit data and program administration records reveal measurable disparities in investigation rates that correlate with beneficiary income level and neighborhood poverty concentration. The downstream