AWS for Industries

Category: Healthcare

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 […]

Amazon HealthLake ChatBot image

Interact Conversationally with AWS HealthLake

Large language models (LLMs) are revolutionizing the way we interact with technology, and AWS HealthLake is no exception. HealthLake is a secure, HIPAA-eligible data lake that allows healthcare organizations to store, transform, and analyze their health data at scale. By combining HealthLake with an LLM, healthcare providers can interact conversationally with their data, gaining insights and making decisions […]

Fig 2 AWS HealthScribe is designed responsibly with each AI-generated summary sentence linked back to consultation transcript.

Introducing AWS HealthScribe – automatically generate clinical notes from patient-clinician conversations using AWS HealthScribe

Introduction Today, we are excited to announce AWS HealthScribe (preview), a new HIPAA-eligible service empowering healthcare software vendors to build clinical applications that automatically generate preliminary clinical notes by analyzing patient-clinician conversations. At AWS, we have been investing in healthcare and life sciences with purpose-built services that reinvent how customers collaborate, make data driven clinical […]

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 […]

How AWS HealthImaging works: medical image data is created by imaging modalities (e.g. CT scanners, and X-ray), it is temporarily copied to Amazon S3, and then imported to HealthImaging. From there, it can be used by diagnostic viewers and clinical applications (e.g. cloud PACS), for collaboration, and to build, train, and deploy AI/ML.

Introducing AWS HealthImaging — purpose-built for medical imaging at scale

We are excited to announce the general availability of AWS HealthImaging, a purpose-built service that helps builders develop cloud-native applications that store, analyze, and share medical imaging data at petabyte-scale. HealthImaging ingests data in the DICOM P10 format. It provides APIs for low-latency retrieval, and purpose-built storage. Our healthcare customers tell us they want their […]

SMART on FHIR authentication flow with HealthLake

Enhanced interoperability with SMART on FHIR support in Amazon HealthLake

Introduction From its launch in July 2021, Amazon HealthLake has provided secure access through AWS Identity and Access Management (IAM). AWS recently launched new FHIR API capabilities on Amazon HealthLake including support for SMART on FHIR 1.0.0. With the support for SMART on FHIR, HealthLake now offers authorization based on the SMART framework using FHIR scopes […]

Figure 1 The AWS shared responsibility model and MachineMetrics

Manufacturing analytics in regulated industries with MachineMetrics on AWS

MachineMetrics on AWS supports automated production monitoring and analytics, while maintaining strong security and compliance. Users achieve strong security and compliance at scale, by using underlying MachineMetrics and AWS frameworks. There’s a myth in the life sciences industry that cloud-based solutions threaten compliance due to a lack of security and stability. This level of caution can […]

Implement FAIR scientific data principles when building HCLS data lakes

The FAIR data principles were first proposed in a seminal paper published in 2016 in the Journal Scientific Data. It was written by a group of international experts in data management and curation. To address the challenges that the research community is facing, they proposed FAIR Principles as a framework for making data more discoverable, […]

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Improve Patient Safety Intelligence Using AWS AI/ML Services

Today, healthcare organizations rely on a combination of automated and manual processes to compose, review, and classify patient safety reports. These reports are entered manually by front-line clinicians into the RL Datix reporting system. This entry includes both discrete data points as well as a free-text narrative. Although the data collection process may begin with […]