AWS Public Sector Blog
Category: Artificial Intelligence
University Hospitals Coventry and Warwickshire NHS Trust digitizes and improves patient experience with AWS
Like many healthcare providers, University Hospitals Coventry and Warwickshire (UHCW) NHS Trust, which manages two major hospitals and serves a population of more than one million, has operated with legacy technology that relies heavily on phone calls and manual processes for contacting patients. Recognizing an opportunity to modernize, the Trust linked up with IBM Consulting for an innovative pilot project to digitize patient engagement channels using Amazon Web Services (AWS). Read this post to learn more.
EDUCAUSE 2024: 5 ways AWS Partners are building the future of higher education
Leaders in higher education recognize that generative artificial intelligence (AI), machine learning (ML), cloud computing, and other advanced technologies are rapidly changing how education and research happen on campus. Whether through data-driven administrative decision-making, generative AI infrastructure for research, or enhanced learning tools for the classroom, higher education institutions are developing and applying technology in innovative and helpful ways. Some of these examples will be shared at the EDUCAUSE Annual Conference from October 21-24 in San Antonio.
AWS hosts inaugural Defense Industry Partner Forum
In August 2024, Amazon Web Services (AWS) convened more than 65 Defense Industrial Base (DIB) companies at Amazon’s HQ2 in Arlington, Virginia for the inaugural AWS Defense Industry Forum. The DIB consists of more than 100,000 companies and subcontractors, which support the U.S. Department of Defense (DoD), and AWS joins forces with DIB partners to provide global infrastructure and cutting-edge technology to outpace our adversaries. Read this post to learn more about the two-day event.
Acentra Health processes 35M Medicare documents 50% faster with IDP on AWS
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.
Elevating internal customer support at Thorn with AWS: A generative AI use case
Efficiently addressing internal customer support tickets can profoundly impact an organization’s productivity and employee well-being, apart from their ability to focus on the mission at hand. To meet these demands, many nonprofits, such as Thorn, are turning to innovative technology solutions. In this post, we explore how Thorn used Amazon Web Services (AWS) in conjunction with generative artificial intelligence (AI) to revolutionize their internal customer support for organization-wide IT, security, and engineering.
How to use AWS Wickr to enable healthcare workers to interact with generative AI
Amazon Web Services (AWS) Wickr is an end-to-end encrypted messaging and collaboration service with features designed to keep internal and external communications secure, private, and compliant. In this post, we present an architecture that uses the Wickr messaging solution for protected communication with a generative AI backend system, which uses an existing open source project: the AWS GenAI Chatbot. Read this post to learn more.
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.
Reimagining the US federal financial space with generative AI: Insights from AWS executive Olivia Peterson
Olivia Peterson, director of federal financial sales at Amazon Web Services (AWS) Worldwide Public Sector (WWPS), is a kind and thoughtful trailblazer who has built a career embedded in customer obsession, while creating safe spaces for her team to thrive. She is the latest guest on the AWS Behind the Cloud vodcast, where she talked about the opportunities technology provides for federal financial agencies to fulfill their missions – from fighting financial crime to increasing internal efficiencies. Read this post to learn more.
AWS commits $10M to support new Cancer AI Alliance with the Fred Hutch Cancer Center
Amazon Web Services (AWS) is proud to be a healthcare and technology partner for the Cancer AI Alliance (CAIA), a new initiative announced today. The CAIA is a consortium of four National Cancer Institute (NCI)-designated cancer centers, led by the Fred Hutch Cancer Center, and leading technology and service companies. AWS is contributing a total of $10 million towards the more than $40 million in funding that helps establish the CAIA.
Building a secure and low-code bioinformatics workbench on AWS HealthOmics
Singapore General Hospital (SGH), SingHealth Office of Academic Informatics (OAI), and Amazon Web Services (AWS) collaborated to develop a cost-effective, scalable cloud infrastructure that enables researchers to perform their own analyses on a centrally secured and compliant cloud platform. AWS HealthOmics offers a suite of services that help bioinformaticians, researchers, and scientists to store, query, analyze, and generate insights from genomic and other biological data. Read this post to learn more about the three primary components of HealthOmics used in the solution.