Category: Healthcare

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, […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

Although genomics workflow languages are designed to improve the portability and reproducibility of analyses, the migration of workflows from one runtime environment to another can be challenging if the workflow makes strong assumptions about that environment. Here we present two customer-tested tools that help detect workflow issues and accelerate the migration of resources to smooth the […]

Are you facing challenges in cell image processing? Let’s dive into how life sciences customers have transformed cell analysis using AWS’s Cell Painting Batch solution. Introduction In the field of drug discovery, analyzing cell images from microscopes plays a major role. Cell Painting, an innovative approach for high-content screening, has emerged to understand cellular behaviors […]