AWS Public Sector Blog

Tag: Medicaid

Supporting state agencies with Medicaid unwinding outreach: Creating a multi-lingual two-way messaging system

A key focus for the Department of Health and Human Services (HHS) and state Medicaid agencies is making sure those eligible for Medicaid maintain coverage and supporting transition to alternatives. Medicaid agencies need to conduct outreach to make their millions of members aware of the process for redetermination. With cloud-based tools from AWS, state agencies can conduct this outreach using no code/low code, serverless, elastic services that can scale to two billion text messages a day. In this blog post, learn how to set up a multi-lingual, interactive SMS message campaign that can automatically verify and update member information on file based on member responses.

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.

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).