A full-stack fraud intelligence platform built for qui tam law firms investigating False Claims Act cases in healthcare. The system ingests and cross-references six federal and state government datasets — OIG exclusion lists, CMS Medicare billing, NPPES provider registry, CMS PECOS ownership/enrollment, state Medicaid exclusions, and Secretary of State corporate filings — performing entity resolution across 612K+ Texas healthcare providers using NPI, name normalization, address fingerprinting, and phone matching.
Core capabilities include a configurable rule engine that detects patterns like excluded individuals maintaining ownership control of billing entities, post-exclusion billing activity, address reuse between providers and excluded parties, and multi-entity control networks. A scoring engine classifies leads across risk, confidence, evidence depth, and traceability dimensions, while a case qualification system produces attorney-ready intake packets with compliance-safe language and full source traceability.
The platform features automated data acquisition with streaming CSV ingestion, per-lead enrichment via live API queries, temporal billing analysis, ownership chain tracing, and a closed-loop attorney feedback system for tracking case conversion rates.
React
TypeScript
Express
PostgreSQL
Drizzle ORM
TailwindCSS
shadcn/ui