Category: Amazon OpenSearch Service

Healthcare organizations worldwide are leveraging Amazon Web Services (AWS) and partner solutions to modernize, transform, and innovate their businesses. Ensuring the availability and security of critical applications is paramount. For example, two renowned German medical facilities, Fachklinikum Mainschleife and Max Grundig Klinik, needed to modernize their IT infrastructure to comply with stringent regulatory requirements outlined in the country’s Law for Accelerating the Digitalization of Healthcare (DigiG). Reliable and compliant service offerings from AWS enabled the medical facilities to provide reliable access to essential systems.

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).

In this post, we will explore the use of generative artificial intelligence (AI) chatbots as a natural language alternative to the service catalog approach. We will present an Amazon Web Services (AWS) architecture pattern to deploy an AI chatbot that can understand user requests in natural language and provide interactive responses to user requests, directing them to the specific systems or services they are looking for. Chatbots simplify the content navigation and discovery process while improving the customer experience.

In this post, we cover an Amazon Web Services (AWS) Cloud infrastructure with a modular architecture that enables you to explore and take advantage of the benefits from different Retrieval-Augmented Generation (RAG)-based generative AI resources in a flexible way. This solution provides several benefits, along with faster time-to-market and shorter development cycles.

The advent of generative artificial intelligence (AI) and large language models (LLMs) present a transformative opportunity to address long-standing educational challenges around creating more personalized learning. In this post, we explain how to implement a personalized, self-paced student companion that addresses the challenges of tailored learning support by harnessing the power of AI to create a personalized, adaptive learning companion that caters to the diverse needs and skillsets of learners.

More than 180 courts compose the Nebraska Judicial Branch, which together handle more than 285,000 cases annually and all of the case exhibits that come with such a workload. This blog post highlights the Judicial Branch’s journey to building an electronic exhibits system on Amazon Web Services (AWS).

The Port of Long Beach, California is the second busiest port in the United States and needs to effectively process and oversee more than $200 billion worth of cargo each year. In addition to keeping track of items and effectively communicating with stakeholders, the Port in recent times has had to contend with shipping delays and other supply change issues exacerbated by the pandemic. To increase visibility and efficiency of cargo movement, the Port turned to AWS to pioneer an innovative solution in the cloud.

Public transit can efficiently connect people and places, often saving riders time and money while reducing traffic congestion. To help make taking public transit more simple, Amazon Alexa launched a transit capability where customers can conveniently ask Alexa for directions with transit or status updates for transit lines from over 450 public transportation agencies. Now rolled out across the US, the feature makes it simpler than ever for customers to use Alexa to optimize their daily commute or to explore a new neighborhood by bus or train.

In the Greater Stockholm Area, SL (Stockholm Public Transport) is responsible for public transport services for more than three million citizens. SL is transforming their ticketing system with a new, “future-proof” alternative built and managed in-house. This major digital transformation project, built on the Amazon Web Services (AWS) Cloud and using microservices, is currently being rolled out across the city. The new ticketing system is an integral part of SL’s commitment to make sure everyone who lives, works in, or visits Stockholm, “has access to well-developed, easily accessible and reliable public transport.”

The Barnes Foundation is home to a legendary art collection, including some of the world’s most important impressionist, post-impressionist, and modern paintings. At the core of its mission is the advancement of education and art appreciation. When the COVID-19 pandemic shut down in-person tours and classes, the Barnes Foundation used the cloud to quickly pivot to develop and launch new online programming to continue to deliver their educational mission, and allowed them to triple enrollment in online courses for adults and reach 40 percent more school-age students during the 2020-2021 school year compared to in-person courses in pre-pandemic years.