Case Study

Insurance Fraud Detection

Insurance Fraud Detection

Pages 3 Pages

Insurance Fraud Detection Leverage Data to Accurately Identify Fraudulent Claims Insurance organizations are all exposed to fraud risks, whether dealing with false claims, false billings, unnecessary procedures, staged incidents, withholding of information, and much more. This industry must be on the cutting edge of technology to stay ahead of fraudsters and reduce losses. With limited resources on fraud investigation teams, every investigation into a case ultimately identified as low risk is wasted time. Hiring more staff to conduct these manual audits is an expensive and inefficient option. Instead, the key is optimizing that team’s work by using big data to detect fraudulent activity with a higher degree of accuracy. This means using data from multiple sources (from patie

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