AWS Public Sector Blog

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Transforming electronic case reports with generative AI: Unlocking faster public health responses

For years, public health agencies have relied on paper-based case report forms to supplement the electronic laboratory reports (ELRs) they receive for reportable diseases. While ELRs provide positive test results, the accompanying case reports give public health agencies critical clinical, demographic, and risk factor data needed for effective disease investigation and response. However, the sheer volume of COVID-19 cases quickly overwhelmed this manual, paper-based process. Prior to the pandemic, the Office of the National Coordinator for Health IT (ONC) and the Centers for Disease Control and Prevention (CDC) developed standards for an electronic case report (eCR) form that could be automatically sent to public health agencies from providers’ electronic health records (EHRs).

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Using customer-provided ephemerides with AWS Ground Station

Amazon Web Services (AWS) Ground Station is a cloud-based service that provides you with an opportunity to perform communication sessions with your satellite without spending a fortune on your own ground station infrastructure. AWS Ground Station balances between providing a ready-made solution and tailoring the service to meet the unique needs of each customer. One of the ways to customize the service is to use customer-provided ephemerides (CPE) for antenna targeting.

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Satellite mission operations using artificial intelligence on AWS

Cognitive Space is a leading Amazon Web Services (AWS) Partner delivering intelligent automation to satellite constellation operations using the CNTIENT platform. The system uses AWS-powered artificial intelligence (AI) decision making to handle highly complex and dynamic satellite tasking requirements, and demanding mission requirements. This blog post provides technical guidance for building and operating mission operation centers (MOCs) on AWS.

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Improving customer experience for the public sector using AWS services

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.

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Track application resiliency in public sector organizations using AWS Resilience Hub

The Amazon Web Services (AWS) Resilience Hub provides you with a single place to define your resilience goals, assess your resilience posture against those goals, and implement recommendations for improvement. In this post, we discuss how we can track the resiliency of software applications and infrastructure using AWS Resilience Hub to provide “always available” services and monitor changes to the application availability.

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NHS England scales review of critical services using AWS Well-Architected Framework

The Amazon Web Services (AWS) Well-Architected Framework is designed to help build resilient, secure, and efficient solutions. Understanding this framework can greatly benefit AWS customers looking to enhance and refine their cloud environments. This post shares insights into how NHS England, responsible for running the vital national IT systems which support health and social care, revolutionized their approach to the AWS Well-Architected Framework review process.

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Wake Forest University builds novel, robust alumni and student app on AWS

Wake Forest is a leading private university in the US with close to 9,000 enrolled students and almost 7,000 faculty and staff. With more than 82,000 degree recipients across all 50 US states and 103 foreign countries, its broader community is vast and growing. To make the most of this diverse community, university leaders want to create connections between individuals across graduating classes, disciplines, and geographies. This post highlights how the school used Amazon Web Services (AWS) to build a solution that brings its whole community closer. 

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Optimizing the US mortgage market with AWS

Common Securitization Solutions (CSS), a joint Freddie Mac and Fannie Mae venture launched in 2013, supports a cornerstone of the American economy: home ownership. CSS built and now operates the largest and most advanced mortgage securitization platform in the US, supporting Freddie Mac and Fannie Mae’s 70 percent market share of the industry with flexibility, scalability, and security at its core. Read this blog post to learn how CSS uses Amazon Web Services (AWS) to power their solutions in the cloud.

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How transit agencies can use AWS to improve safety and passenger experience

Fleet managers can use Amazon Web Services (AWS) to ingest and analyze fleet driver data. In this post, we share how a large public transit agency in the United States worked with AWS to create a proof-of-concept (POC) to analyze operator behavior and improve its visibility of sudden acceleration-based events.

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How credit unions can evaluate their FFIEC, NCUA cyber compliance using AWS

Credit unions face unique security, regulatory, and compliance obligations. These requirements mean that a sound cybersecurity posture is essential for credit unions across both cloud workloads and on-premises technology. Read this blog post to learn how Amazon Web Services (AWS) can help credit unions prepare for audits, assess security posture, and produce documentation for state or federal regulators.