AWS Public Sector Blog

Tag: Medicaid

How public sector agencies can identify improper payments with machine learning

To mitigate synthetic fraud, government agencies should consider complementing their rules-based improper payment detection systems with machine learning (ML) techniques. By using ML on a large number of disparate but related data sources, including social media, agencies can formulate a more comprehensive risk score for each individual or transaction to help investigators identify improper payments efficiently. In this blog post, we provide a foundational reference architecture for an ML-powered improper payment detection solution using AWS ML services.

Read More

Delivering better Medicaid services (and happier teams) with the AWS Cloud

In this blog post, the Georgia Department of Community Health (DCH) chief information officer, Venu Gurram, describes his experience transforming their Medicaid Management Information System (MMIS) from legacy on-premises infrastructure to a collection of services in the cloud. Learn how the DCH joined forces with another state entity, the Georgia Tech Research Institute (GTRI), to use the Amazon Web Services (AWS) Cloud to deliver the next generation of Medicaid technology: a Medicaid Enterprise System (MES).

Read More

Using Health Data to Make More Efficient Use of Medicaid Resources

Health and Human Services (HHS) agencies collect an endless amount of data that, however abundant, often fails to paint the whole picture. According to NextGov, 74 million Medicaid records are now hosted in the AWS Cloud. The Centers for Medicare & Medicaid Services (CMS) is porting in five years or more of records from 50 states—totaling 72 […]

Read More