Category: Healthcare

In this post, we show how EHR companies, healthcare independent software vendors (ISVs), and tech-enabled provider organizations can use Amazon Connect Health to embed these capabilities into their existing workflows using a single, unified Software Development Kit (SDK).

Learn more about Kiro — an agentic AI-powered IDE built by AWS that helps you go from prototype to production with spec-driven development — and how to improve Kiro’s bioinformatics workflow abilities, we built the AWS HealthOmics Kiro Power — a companion package that automatically configures the HealthOmics Model Context Protocol (MCP) server and provides Kiro with domain-specific steering guides.

This blog is co-written with Shane O’Connor and Kendra Burkholder from Huron. Healthcare providers that are innovative are always striving to deliver exceptional patient experiences while optimizing business operations for speed and cost. Huron Consulting Group (Huron) has developed innovative solutions using the generative AI built on AWS. They are transforming how healthcare providers measure […]

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 […]

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 […]

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. […]

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 […]

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 […]

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 […]

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 […]