Researchers around the world use cloud technology to quickly analyze massive data pipelines, store petabytes of data, and share their results with collaborators around the world. Watch this webinar to learn how AWS helps researchers process complex workloads by providing the cost-effective, scalable, and secure compute, storage, and database capabilities needed to accelerate time-to-science.
Most Recent Articles
Philips and AWS Automate PHI de-identification with machine learning
Blog guest authored by Shawn Stapleton, PhD, global Data Science and Innovation lead for Philips Properly de-identified electronic health record (EHR) data is imperative to curate data sets for...
The Pathway to better Surgical Care with Operating Room Analytics on AWS
Blog is guest authored by Dr. André Sander, CTO at ID Berlin and Roland Kopetsch, GM at SectorCon Surgical care is an essential part of healthcare. Yet, the growing volume of surgical procedures...
Accelerate medical research with Amazon OpenSearch Service
In the era of large volumes of dynamic data, researchers need a platform that will allow them to ingest data, search in near real-time, and visualize data by using dashboards. Utilizing the Amazon...
Using Amazon Personalize to find the right doctor without a data scientist
Every day our digital experiences are highly infused with personalizations. Yet, the patient and clinical experience in healthcare remains mostly unaffected. We’ll show what a modern digital...
Siemens Healthineers Ultrasound launches Remote Services platform on AWS
Blog is guest authored by Salim Abdul, Remote Services Product Owner at Siemens Healthineers Ultrasound Large, distributed collections of medical imaging devices like ultrasound systems can be...
Advance pediatric care using Amazon HealthLake for scalable FHIR-based data analytics
Blog is guest authored by Meen Chul Kim from Children’s Hospital at Philadelphia The ability to quickly and securely share data is a critical success factor for researchers around the world...
Common techniques to detect PHI and PII data using AWS Services
Identifying sensitive data such as protected health information (PHI) and personally identifiable information (PII) and taking appropriate action to safeguard it, is an important step to achieve...
Accelerating radiology imaging workflows with relevant clinical context on AWS
Having ready access to clinical context helps radiologists eliminate assumptions and better apply their skills and expertise in rendering final reports. An automated extraction of relevant...
Top-10 HCLS Announcements from re:Invent
re:Invent is an opportunity to dive into innovative technologies and explore new ideas, and for healthcare and life sciences (HCLS) organizations, it is the time to think about how to reinvent...
Beth Israel Deaconess Medical Center Builds Telehealth Solution Using AWS
Blog guest authored by Venkat Jegadeesan, Jim Arrington, and Si Wong from Beth Israel Deaconess Medical Center When the pandemic hit the United States in March 2020, many organizations needed...
Amazon HealthLake Imaging Partners
Amazon HealthLake Imaging is a new HIPAA-eligible capability that enables healthcare providers and their software partners to store, access, and analyze medical images at petabyte scale. For...
AWS features Amazon HealthLake Imaging at RSNA22
Medical imaging plays a powerful role in diagnosis, treatment plans, and even medical research. To better help healthcare customers leverage imaging to deliver patient-centered care, AWS will be...
Healthcare & Life Sciences at re:Invent 2022- Industry Attendee Guide
Celebrating its 11th year, AWS re:Invent 2022 is gearing up to deliver a week of inspiring content, educational workshops and boot camps—all with plenty of peer-to-peer networking opportunities....
Introducing the Healthcare Industry Lens for the AWS Well-Architected Framework
Today, health organizations are using AWS to build cloud workloads that can help improve patient care and drive healthcare innovation forward. These innovative methods are increasing operational...
A Shifting Paradigm: Deciphering patient journeys with the power of AI/ML
Early detection of diseases and understanding disease progression patterns are critical for ensuring an accurate, timely diagnosis and accelerating access to the best treatments. A comprehensive...
Build a Member-360 Unified View Using Data Mesh with Amazon HealthLake
Every healthcare organization is trying to solve the problem of structuring their data to create a unified 360-degree view of their patients or members. Doing this correctly allows you can make...
Voice enabling participant diary collection powered by AI on AWS – Part 2
Blog is guest authored by Dr. Isaac R. Rodriguez-Chavez, SVP, Scientific and Clinical Affairs, Head, Decentralized Clinical Trials and Digital Medicine, Drug Development Solutions, ICON plc Learn...
Care without Boundaries enabled by Smile Digital Health on AWS
Blog guest authored by Shane McNamee, SVP, Strategic Growth and Peter Yiu, Director, Strategy and Transformation of Smile Digital Health The inconsistent implementation of interoperability in...
Streamline Medical Contact Center Interactions with AI
Across the board, healthcare providers are struggling to serve patients within the funds available to them. Remote healthcare, along with AI powered automation of doctors’ non-value adding...
Introducing Landing Zone Accelerator for Healthcare
Today, Amazon Web Services (AWS) announced the availability of Landing Zone Accelerator (LZA) for Healthcare. The LZA for Healthcare is an industry-specific deployment of the Landing Zone...
