AWS for Industries
Category: Healthcare
Introducing Amazon Connect Health: Agentic AI for healthcare, built for the people who deliver it
Today, we’re announcing Amazon Connect Health, a purpose-built agentic AI solution that handles high-volume administrative tasks such as appointment scheduling, clinical documentation, and medical coding, keeping providers informed and in control while delivering proven results across the care continuum. Healthcare depends on human connection, yet repetitive administrative work pulls professionals away from patient care. Healthcare provider organizations handle millions of […]
Optimizing Epic on AWS: R8i instances deliver 20-30% cost savings with enhanced SMP performance
Amazon Web Services (AWS) is announcing the availability of Amazon Elastic Compute Cloud (EC2) r8i.96xlarge instances for healthcare workloads, delivering significant cost optimization alongside enhanced performance capabilities for large-scale deployments. Improved cost efficiency for healthcare organizations Based on a recent analysis by AWS and Epic for health systems, the r8i.96xlarge instance offers an estimated 20 […]
Accelerate development of bioinformatics workflows on AWS HealthOmics using call caching
Bioinformatics workflows are computationally expensive, often running for hours to days. When these workflows fail mid-execution or require iterative refinement, rerunning from scratch wastes significant time and compute resources. AWS HealthOmics call caching solves this challenge by intelligently saving and reusing completed task outputs, enabling workflows to resume from failure points rather than restarting entirely. […]
From spec to production: a three-week drug discovery agent using Kiro
Introduction Building production-ready agentic AI solutions can present significant challenges—from navigating complex architectures to establishing clear development patterns. The life sciences industry adds further complexity: strict regulations, diverse data modalities, and the variety of diseases all require additional time and specialized approaches. At AWS, we believe there’s a better path forward. AWS continues to invest […]
Navigating the EU Data Act for IoT Solutions: Part 2- Data Discovery and Classification, Management, Accessibility, and Governance
In part 1- Healthcare Industry lens, we shared an overview of the impact of the European Union (EU) Data Act on Healthcare IoT, Act core requirements, and demonstrated how Amazon Web Services (AWS) services can be used to create data workflows to support efforts to meet requirements. Technical implementation guide Now that you’ve learned about […]
A Healthcare Executive’s guide to digital transformation on AWS
Introducing the Amazon Web Services (AWS) Healthcare Learning Plan for Executives, a no-cost educational resource designed to address the digital transformation opportunity in healthcare. It outlines how leaders in the healthcare sector can quickly gain essential cloud knowledge to drive successful transformation initiatives without compromising on security and compliance. Background Healthcare stands at a transformative […]
Building healthcare AI agents with open-source AWS HealthLake MCP server
It can be challenging to build a real-time agentic AI applications that interacts with AWS HealthLake datastores. This requires deep knowledge of fast healthcare interoperability resources (FHIR) operations and Amazon Web Services (AWS) SDK implementations. We’re excited to share an open-source Model Context Protocol (MCP) server. It streamlines healthcare data operations by providing natural language […]
Clinical doppelgangers: Accelerating pediatric insights
Treating complex patients can be difficult. The ability to see how other patients with similar symptoms or conditions were treated and what their outcomes were can help clinicians better understand how to approach their own patients. Traditional search, however, falls short for nuanced clinical care scenarios (for example, post-Norwood arrhythmias responsive to alternative pacing). Clinicians […]
AWS re:Invent 2025: A transformative moment for healthcare and life sciences
At the 14th annual AWS re:Invent, more than sixty-thousand executives, developers, and industry leaders united in Las Vegas to discover and explore the most cutting-edge data and AI innovations. Amidst dozens of launches, hundreds of demos, and thousands of sessions, healthcare and life sciences customers took center stage. They shared real-world use cases to demonstrate how they’re […]
Collaborative AI Model Training with Rhino Federated Computing on AWS
Introduction Across the healthcare and life sciences (HCLS) industry, organizations are generating large volumes of data with potential to improve patient care. However, transforming this data into meaningful insights can be challenging for many institutions. Privacy regulations like Health Insurance Portability and Accountability Act (HIPAA), EU General Data Protection Regulation (GDPR), and requirements for data […]









