Fraud Waste and Abuse Detection Software for Pharmacy Claims                                

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# Real-time anomaly detection across pharmacy claims to flag fraud before payout  
— Pharmacy Benefit Management

**Solving:** Pharmacy claims fraud patterns going unnoticed until after reimbursement

## Machine Learning Architecture

Real-time anomaly detection across pharmacy claims to flag fraud before payout

Python, Kafka, PostgreSQL

## Validated Business Impact

Improves fraud waste and abuse detection accuracy by 37%

## Technical FAQ

### How does JSRRB Technologies solve pharmacy claims fraud patterns going unnoticed until after reimbursement?

We deploy real-time anomaly detection across pharmacy claims to flag fraud before payout. Typical result: improves fraud waste and abuse detection accuracy by 37%.

### What technology and security model powers this Pharmacy Benefit Management solution?

The solution is engineered on Python, Kafka, PostgreSQL, deployed under JSRRB's zero-trust architecture so your proprietary Pharmacy Benefit Management systems and data stay encrypted and are never exposed to public AI training models.

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