AWS for Industries

Category: Healthcare

AWS increases Epic database sizing options for customers

Amazon Web Services (AWS), in collaboration with Epic, is announcing another increase in Epic on AWS customer database sizing, measured in global references per second (GRefs/s). Epic’s Chronicles Operational Database (ODB) can now be sized to 65 million GRefs/s in AWS. This is achieved on an Amazon Elastic Compute Cloud (EC2) R7an.48xlarge instance combined with Amazon […]

Improving Patient Experience with Digital Front Door

Improving Patient Experience with Digital Front Door

In this blog, we demonstrate the capabilities of the digital front door using AWS services. The reader will understand the approach used to store a plan benefits document, create embeddings, process the user questions, and deliver an interactive chatbot. By demystifying policy details, healthcare payors can create a member experience that works better for everyone. […]

Generative AIPowered Clinical Intelligence Safely Driving Better Outcomes feature card

Generative AI-Powered Clinical Intelligence: Safely Driving Better Outcomes

Healthcare organizations face immense challenges in gaining insights from the vast amounts of unstructured patient data they collect, since about 80% of medical data remains unstructured and unused after it is created (Kong, 2019, NIH). Clinical notes written by doctors and nurses are a prime example; they contain a wealth of information about patient conditions, […]

AWS Entity Resolution for Health Data

AWS Entity Resolution for Health Data

Introduction This post shows how AWS Entity Resolution can tackle the challenge of linking and matching records in healthcare and provides a walkthrough of how-to setup a patient 360 view with a continuous entity resolution workflow. It also explains how AWS HealthLake can help healthcare customers securely store, transform, and manage their data. By the end […]

AWS for Healthcare at HIMSS24 Event

Better data. Better insights. Better outcomes. The AWS for Healthcare team is heading to Orlando for the upcoming HIMSS Global Health Conference & Exhibition, March 11-15. In alignment with the event theme, “creating tomorrow’s health,” the AWS for Healthcare team will showcase our commitment to helping healthcare organizations generate better insights and better outcomes by […]

Virtual Visit with Spatial Computing on AWS

by Christine Tsien Silvers, MD, PhD, Chris Chiappone, Jim Arrington, Sofia Fatalevich, Ted Fitzgerald, and Venkat Jegadeesan | on | in Healthcare, Industries | Permalink |  Share

Blog guest authored by Jim Arrington, Ted Fitzgerald, and Venkat Jegadeesan from Beth Israel Deaconness Medical Center. The future of healthcare is not just digital—it’s spatial. As we navigate the increasingly complex landscape of telehealth, traditional video calls and online consultations are giving way to more immersive experiences. Beth Israel Deaconess Medical Center (BIDMC), a […]

Store omics data cost effectively at any scale with AWS HealthOmics

Store omics data cost effectively at any scale with AWS HealthOmics

AWS HealthOmics is a managed service designed to help healthcare and life sciences organizations manage genomic and transcriptomic datasets cost-effectively. By automating metadata management, compression, and storage class tiering, HealthOmics frees up researchers to focus on analyzing omics data instead of spending time managing it. Storage efficiency, cost optimization and ease of access to omics […]

Highlights from the AWS Healthcare and Life Sciences Executive Symposium 2023 at re:Invent

As a prelude to re:Invent 2023, AWS hosted the Healthcare and Life Sciences (HCLS) Executive Symposium in Las Vegas on Monday, November 27. The half-day, in-person event, attended by over 300 leaders from 180 organizations, centered around harnessing the power of data, analytics, machine learning (ML), and generative AI to accelerate innovation. This year’s symposium […]

fMRI Data Preprocessing on AWS using AFNI and AWS HealthOmics feature card

fMRI Data Preprocessing on AWS using AFNI and AWS HealthOmics

Functional magnetic resonance imaging (fMRI) is an indirect measure of neural activity that uses magnetic gradients to measure blood oxygenation in the brain. Many studies use fMRI data to non-invasively measure brain activity across psychology, cognitive neuroscience, and to better understand diseases that impact brain function. These studies can produce terabytes of data that require […]

Automated genomic data processing with AWS HealthOmics & TetraScience

Automated genomic data processing with AWS HealthOmics & TetraScience

Data governance strategies based on FAIR Data principles can increase operational efficiency and accelerate innovation in R&D. Amazon Web Services (AWS), along with partners such as TetraScience, enable pharmaceutical and biotech customers to adopt FAIR data governance practices with solutions that help process and store large-scale data for research and diagnostic purposes. This blog shows […]