AWS for Industries

Category: Healthcare

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 […]

AWS Clean Rooms feature card

AWS Clean Rooms: Privacy-enhanced collaboration use cases

Companies across industries are increasingly seeking ways to complement their first-party data to build a holistic view of their customers or business. This often means developing a view across channels and engagements, as well as complementing their first-party data with their business partners’ data. This need for data collaboration spans company size, geography, and industry. […]

AWS for healthcare at RSNA23 feature card

AWS for Healthcare at RSNA23

AWS for Healthcare is heading to Chicago for the upcoming Radiological Society of North America (RSNA) 2023 event, November 26-29. We are looking forward to engaging with industry leaders and discussing how we can empower their enterprise imaging with cloud-based services to speed diagnosis and innovation. To support radiologists and health systems deliver patient-centered care, […]

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 […]

Designing an event-driven architecture for Bioinformatics workflows using AWS HealthOmics and Amazon EventBridge

Healthcare and Life Science organizations have a mission to improve human health and make groundbreaking scientific discoveries. More often than not, they leverage genomic, transcriptomic or other omics data to achieve this goal. They use a collection of bioinformatics tools and methods to process this data and derive scientific insights. Bioinformatics workflows enable orchestration of […]

Secure Your Genomic Workflows and Data with AWS HealthOmics

AWS HealthOmics is a HIPAA-eligible AWS service and provides fully-managed compute that helps customers process genomic, proteomic, and other varieties of -omic data securely and at scale in AWS. It supports common workflow definition languages—including WDL, Nextflow, and CWL—and secure access to data stored in Amazon S3 and AWS HealthOmics Storage. In this blog post, we cover […]

Figure 1 Philips Image Guided Therapy Azurion System

Philips Prototypes a Large-scale, Near-real-time Inference Platform to Extend Medical Imaging Using AWS

Image-guided therapy solutions provide visual guidance during minimally invasive therapies. However, with interventional systems located within hospitals, enabling faster innovation and a roll-out of new technologies to the field has been a significant challenge. To solve this, Philips has prototyped a large-scale, near-real-time inferencing platform on Amazon Web Services (AWS) to extend the capabilities of […]