AWS for Industries
Category: Healthcare
Exact Sciences Transforms Bioinformatics Infrastructure with AWS HealthOmics
Learn how Exact Sciences, a leading provider of cancer screening and diagnostic tests, has transformed its bioinformatics infrastructure by utilizing AWS HealthOmics.
Modernizing life-saving workloads with AWS serverless
Learn more about AWS’s commitment to supporting nonprofit organizations through cloud technology, helping mission-critical healthcare systems achieve greater impact through modernization.
Introducing Amazon Bio Discovery
Learn about the general availability of Amazon Bio Discovery, a unified application that closes the experimental loop between your dry and wet lab, enabling you to collaborate more efficiently with your computational colleagues, compress discovery cycles, and make faster, more confident decisions about which candidates to advance.
Event-Driven Digital Pathology: Governed Whole Slide Image Ingestion to Scalable Inference with Amazon SageMaker
This blog post will detail how Genmab, a leading biotech company, built an automated pipeline on AWS that handles whole-slide images from start to finish, cutting analysis time from hours to under 30 minutes per batch and reducing manual work by 80 percent. We will walk through how Genmab achieved this using AWS services and share the key lessons they learned along the way.
How Amazon Connect Health brings agentic AI to the point of care
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).
From Prompt to Pipeline: AI-Powered Bioinformatics Workflow Development with Kiro and AWS HealthOmics
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.
Huron transforms patient experience and business operations with AWS generative AI analytics
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 […]
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. […]









