Tag: Medicaid

The Centers for Medicare & Medicaid Services (CMS) recently enabled states to extend Medicaid coverage to eligible incarcerated individuals, with hopes of ensuring continuity of care upon release, reducing the risk of relapse, and encouraging better health management. To help states begin benefitting from this new CMS policy, Amazon Web Services (AWS) offers a suite of data storage, telehealth, analytics, and reentry services. In this post, we break down four specific areas where AWS services—and AWS Partners—can help.

Despite a common misconception about government, state agencies regularly innovate on behalf of their constituents. In this post, Amazon Web Services (AWS) experts share examples of innovation from New Mexico and North Carolina. We also provide tips for accelerating procurement and maintaining visibility over rapidly implemented workloads.

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.

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.

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.

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.

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.

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.

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).

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 […]