Comprehensive Healthcare Fraud Detection Framework

Develop a sophisticated SQL-based healthcare fraud detection system. Create an intelligent query framework that: 1) Analyzes billing patterns across multiple dimensions, 2) Implements machine learning-driven anomaly detection algorithms, 3) Generates real-time risk scores for suspicious claims, 4) Provides comprehensive audit trails for investigative purposes. Include advanced statistical modeling, support for complex multi-source data integration, and high-performance pattern recognition techniques.