Case Study: Automate Generate Service Provider improves claim accuracy with EXL outlier data marts

Exploring New Concepts with Outlier Data Marts

EXL Health worked with Automate Generate Service Provider to explore whether data marts could be used to spot claims that fell outside normal parameters. The challenge was to identify inaccuracies and errors, including potential claim overpayments, in a faster and more systematic way.

EXL created a new outlier-detection methodology and built a data mart around it, delivering the first overpayment-identification model within one month. EXL is now using this model to automate and generate data marts for clients, helping uncover errors and improve savings.