AWS for Industries

Tag: #healthcare

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, […]

Virtual Visit with Spatial Computing on AWS

by Christine Tsien Silvers, 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 […]

Top-10 re:Invent 2023 Announcements Important for Healthcare and Life Sciences

Occasionally, new technologies emerge that fundamentally alter how businesses operate. But without the appropriate tools—controls, safeguards, and user experiences—the promise of new technologies can get stuck.  In the past year, many have been captivated by the potential of Generative AI to revolutionize drug discovery, precision medicine, and healthcare delivery. But what tools will turn the […]

Three Takeaways from Pfizer at AWS re:Invent Keynote

Contributed by Authors: Lidia Fonseca, Chief Digital and Technology Officer of Pfizer, and Dan Sheeran, General Manager of Healthcare and Life Sciences at AWS. Pfizer applies its scientific expertise and global resources to bring vaccines and therapies to people that extend and significantly improve their lives. Last year, Pfizer treated 1.3 billion patients – that’s […]

A Healthcare & Life Sciences Guide to AWS re:Invent 2023

A Healthcare and Life Sciences Guide to AWS re:Invent 2023

Throughout 2023, we’ve witnessed an acceleration of innovation at the intersection of health and technology. And with this year’s AWS re:Invent right around the corner, industry and AWS leaders are preparing to share their cutting edge technologies, use cases, and breakthroughs fueled by integrated data strategies, machine learning, and generative AI. Running November 27 through […]

How healthcare organizations can improve discharge medication safety

How healthcare organizations can improve discharge medication safety

Medications are integral for preventing and curing illness, yet medication errors can also be a cause of harm. For example, in 1993 over 7000 patients died in the United States as a result of a medication error. As more medications become available for use, the simultaneous use of multiple medications by a single patient is […]

Build an end-to-end framework to store, integrate, and analyze multimodal data using AWS purpose-built Health and Machine Learning services.

Multimodal Data Analysis with AWS Health and Machine Learning Services

In this blog, we show how you can leverage AWS purpose-built health care and life sciences (HCLS), machine learning (ML), and analytics services to simplify storage and analysis across genomic, health records, and medical imaging data for precision health use cases. The included reference architecture is built on AWS HealthOmics, AWS HealthImaging, and AWS HealthLake services which enable you […]

Figure 1 – Acquiring DICOM objects from on-premises to AHLI

Integration of on-premises medical imaging data with AWS HealthImaging

The medical imaging industry is used to diagnose and treat various medical conditions. The medical imaging industry has experienced significant growth [1] over the past decade and is expected to continue growing in the upcoming years. This is due to the demand for diagnostic imaging services increasing with the aging population, an increase in the […]