SAS: Detect and Prevent More Fraud and Improper Payments

Improve the Quality of Alerts and Reduce False Positives by Combining Data and Analytic Techniques.

All too often, insurance companies and government programs pay claims and benefits for services that didn’t take place, on behalf of beneficiaries and claimants who either didn’t exist or never met the eligibility criteria. For example, fraudsters commonly file false claims of employment, declaring employees who don’t exist or who don’t actually work the required number of hours. Or maybe

Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.

To access these options, along with all other subscription benefits, please contact [email protected] or view our subscription options here:

You are currently unable to copy this content. Please contact [email protected] to find out more.

To continue reading...

You need to sign in to use this feature. If you don’t have a RiskTech Forum account, please register for a trial.

Sign in
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an individual account here: