Tag: Amazon Textract

This post discusses how Amazon Web Services (AWS) can help you set up a unified search platform for educational content using Amazon OpenSearch Service. Amazon OpenSearch Service is a managed service that makes it easy to deploy, operate, and scale OpenSearch clusters in the AWS Cloud. With digital learning becoming increasingly popular, managing a vast amount of educational data can be challenging. A unified search platform enables users to search across multiple indexes at once, providing a centralized view of all available resources.

How can technology leaders rapidly deliver responsible artificial intelligence-based innovation while aligning with the broad spectrum of strict regulatory requirements? The answer is simple: Amazon Web Services (AWS) GovCloud (US) provides the technology that underpins a solid foundation for securely and compliantly building and deploying AI capabilities. Read this post to learn more.

Federal agencies typically collect, manage, use, and distribute a wide array of documents. Storing and distributing federal agency documents is often a complicated process; documents can range from structured formats to free-flowing documentation with personal identifiable information (PII) that needs careful redaction. And because federal agencies cover a wide breadth of domains, it is challenging to develop a one-size-fits-all approach for document processing. In this post, we explore an example of how a federal agency can use Amazon Web Services (AWS) to design and deploy a solution that addresses this document processing challenge.

In Modernizing tax systems with AWS, we briefly touched upon infrastructure and application modernization using microservices and serverless architectures. We hear from multiple tax and labor agencies about their desire to move to API-based architectures and adopt new technologies. In this post, we dive deeper into these areas and discuss benefits, approaches, and best practices for building modern tax and unemployment insurance (UI) applications using microservices.

Acentra Health helps Medicare beneficiaries file quality of care complaints and appeals regarding early hospital discharge or early termination of skilled services. Processing these cases requires meticulous data entry from patient records and forms related to prior authorization notices, patient care, and case management, which often consist of complex medical history. To better support its clients, Acentra Health implemented an intelligent document processing (IDP) solution using Amazon Web Services (AWS). Read this post to learn how their IDP solution reduced document processing times and lowered costs.

Citizens are increasingly expecting government to provide modern digital experiences for conducting online transactions. Market research tells us 63 percent of consumers see personalization as the standard level of service. This post offers various architectural patterns for improving customer experience for the public sector for a wide range of use cases. The aim of the post is to help public sector organizations create customer experience solutions on the Amazon Web Services (AWS) Cloud using AWS artificial intelligence (AI) services and AWS purpose-built data analytics services.

As the amount of health data increases, different healthcare, life sciences, population health, and public health organizations are working to modernize their data infrastructure, unify their data, and innovate faster with technologies like artificial intelligence and machine learning (AI/ML). In this blog post, we dive deep on architecture guidance that enables healthcare providers to improve patient care.

Organizations deal with ever-growing data volumes. This means that growth-minded businesses must put data at the heart of every application, process, and decision. But how you use your organization’s data is the key to accelerating innovation and accomplishing your organizational goals.

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.