AWS Public Sector Blog

Vignesh Srinivasan

Author: Vignesh Srinivasan

Vignesh is a senior solutions architect at AWS. He previously worked with the Centers for Medicare & Medicaid Services (CMS), including helping to implement the Federal Health Exchange as part of the Affordable Care Act. He was also on the team that fixed healthcare.gov and successfully migrated the system to AWS. He has a master’s degree from Rochester Institute of Technology and an MBA from the University of Maryland.

MARS-E to ARC-AMPE: Guide for state Medicaid agencies on AWS

MARS-E to ARC-AMPE: Guide for state Medicaid agencies on AWS

This post is for two audiences. The first is agencies already running MARS-E-compliant workloads on AWS that are looking to map their existing posture onto the new framework. The second is agencies planning a migration from on-premises infrastructure where ARC-AMPE will be in scope from the first day.

AWS branded background with text "Extracting, analyzing, and interpreting information from Medicaid forms with AWS Bedrock Data Automation"

Extracting, analyzing, and interpreting information from Medicaid forms with AWS Bedrock Data Automation

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. Whether a provider submits claims electronically or on paper, the claim could be adjudicated using the same process and analyzed the same way, saving both time and money. AI and ML services from AWS allow Medicaid agencies to create this streamlined solution. Moreover, AWS enables the adoption of solutions like this by providing no code or low code serverless services. Read this post to learn more

AWS Branded Background with text "Transforming Medicaid: Crafting a robust data strategy with AWS for operational efficiency"

Transforming Medicaid: Crafting a robust data strategy with AWS for operational efficiency

What if a Medicaid agency could make sure that their leadership and staff had access to a reliable, single source of truth for their data in one unified platform? The implementation of an operational data store (ODS) presents a viable solution. This post explains the architectural choices available with Amazon Web Services (AWS) to effectively create and maintain an ODS.

AWS Branded Background with text "Hosting regulated U.S. State and Local Government Workloads in AWS"

Hosting regulated U.S. State and Local Government Workloads in AWS

U.S. State and Local Government (SLG) organizations often have requirements to host regulated workloads with distinct compliance requirements. Amazon Web Services (AWS) provides U.S. SLG customers with an approach to meet compliance needs by using AWS GovCloud (US) regions or AWS U.S. commercial regions. In this post, we will explain how some U.S. SLG regulated workloads can be hosted in the AWS U.S. commercial regions.

AWS branded background design with text overlay that says "Improving constituent experience using AWS-powered generative AI chatbots"

Improving constituent experience using AWS-powered generative AI chatbots

Generative artificial intelligence (AI) can transform the experience of state and local government constituents. With Amazon Lex, you can design and build sophisticated voice and text conversational interfaces, deploy omnichannel experiences with pre-built integrations to contact center solutions, and pay only for speech and text requests with no upfront costs or minimum fees. This post provides a technical walkthrough for building a generative AI chat-based solution.

AWS branded background design with headline text overlay that says "Building a multilingual contact center for Medicaid agencies on AWS"

Building a multilingual contact center for Medicaid agencies on AWS

One of the biggest constraints in providing equitable access to care is the language barrier between providers and the patients they serve. For Medicaid agency call centers, there aren’t enough agents to support communication in all the languages requested by a state government. Some states want to support nearly 20 languages in the call center […]

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.