Healthcare Insurance Fraud Detection Model

Develop a sophisticated SQL-based fraud detection system for healthcare insurance claims. The solution must implement advanced anomaly detection algorithms, use machine learning-inspired window functions to identify suspicious claim patterns, calculate multi-dimensional risk scores, and generate detailed investigative reports. Include techniques for handling complex claim relationships, temporal pattern recognition, and statistically validated fraud indicators.