Tag: #healthcare

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 […]

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, […]

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 […]

As healthcare and life sciences customers work to advance clinical research, and realize personalized healthcare and precision medicine for patients, they face varying compliance, regulatory, and security requirements as well as disparate data that is siloed across multiple applications and organizations. These customers increasingly need to unlock access to quality data and leverage privacy-enhanced multi-party […]

Amazon Web Services, Inc. (AWS) has increased maximum sizing of global references per second (GRefs/s) for Epic on AWS customers.  AWS now supports operational database workloads of up to 42 million GRefs/s.  This represents a 61% GRefs/s increase from the previous AWS GRefs/s sizing announcement.  This step-change in scalability, delivered on the R6in instance, represents […]

The AWS for Healthcare Team is heading to Chicago for the upcoming HIMSS Global Health Conference & Exhibition 2023 event, April 17-21. We are looking forward to engaging with industry leaders and discussing how we can help them deliver on their mission to deliver better patient outcomes for the communities they serve. AWS will showcase […]

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 use in creating insights into population health. Being able to automate this incredibly manual and time-consuming process would speed up your health informatics innovations and time-to-market. […]

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 is making capacity and delivery of surgical services a major challenge for health systems. Using bio-signal data, advanced sensors and operating room […]

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 working to find cures for childhood illnesses. Recognizing an opportunity to accelerate this important work, Children’s Hospital of Philadelphia (CHOP) partnered with Amazon HealthLake […]

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 clinical context from electronic health records (EHRs) can provide clinical context. A typical imaging workflow involves a patient following up for a recommended procedure prescribed by a provider. For […]