AWS Public Sector Blog

Tag: Medicaid

Creating agentless outbound campaigns to support Medicaid unwinding efforts

Creating agentless outbound campaigns to support Medicaid unwinding efforts

With state Medicaid agencies (SMAs) contacting all their members, contact centers must scale to meet increased demand—however, staffing shortages can make this outreach and call support difficult. SMAs can support staff members and make sure members get their communications needs met by using AWS and cloud technology to introduce automation into their outreach process. Learn how to deploy a serverless outbound campaign to meet Medicaid unwinding outreach needs and support agency staff members by streamlining the outreach process.

Extracting, analyzing, and interpreting information from Medicaid forms with AWS

Extracting, analyzing, and interpreting information from Medicaid forms with AWS

What if paper forms could be processed at the same speed as digital forms? What if their contents could be automatically entered in the same database as the digital forms? Medicaid agencies could analyze data in near real time and drive actionable insights on a single dashboard. By using artificial intelligence (AI) and machine learning (ML) services from AWS, Medicaid agencies can create this streamlined solution. In this walkthrough, learn how to extract, analyze, and interpret relevant information from paper-based Medicaid claims forms.

Automating returned mail to members enrolled during Medicaid unwinding

Automating returned mail to keep members enrolled during Medicaid unwinding

As the COVID-19 public health emergency (PHE) begins to wind down, starting April 1, 2023, state Medicaid agencies (SMAs) will have one year to “unwind” temporary COVID-era changes and return to pre-pandemic ways of working. For nearly a year, AWS has supported SMAs with in-house Medicaid expertise to identify unwinding issues and develop solutions to address them. The top four concerns that SMAs have shared for unwinding are constituent outreach and engagement, staffing shortages, returned mail, and reporting capabilities. In this blog post, explore how AWS can help with automating returned mail to support members in keeping their coverage.

4 ways AWS can help with Medicaid unwinding

Beginning on April 1, 2023, state Medicaid agencies (SMA) will have one year to “unwind” temporary COVID-era changes and return to pre-pandemic ways of working. A major part of that will be re-verifying that all 91 million members still qualify to receive Medicaid benefits. For nearly a year, AWS has supported SMAs with in-house Medicaid expertise to identify unwinding issues and develop solutions to address them. The top four concerns that SMAs have shared are in approaching outreach and engagement, staffing shortages, returned mail, and reporting capabilities. Learn how AWS can help states across the country overcome these challenges across different scenarios.

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).

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 […]