Case Study: a leading healthcare and insurance provider group detects fraud in real time with Datamatics AI analytics

a leading healthcare and insurance provider group detects fraud across 3.3M claims with Datamatics

The customer, a leading healthcare and insurance provider group, faced significant challenges with lengthy claim processing times and an outdated fraud detection system incapable of real-time analysis. Their leadership team engaged Datamatics to develop a sophisticated, AI-powered rules engine that could continuously learn and improve to reduce financial losses from fraudulent activities.

Datamatics implemented a solution using an ensemble of machine learning techniques and anomaly detection to analyze 3.3 million claims. This system identified 65,000 outliers in real time, achieving an 80% efficiency rate. The solution provided continuous improvement through machine learning and unearthed key fraud propensities related to claimant age and country, significantly enhancing the client's ability to detect suspicious activity.