Category: Healthcare

New draft guidance from the Food and Drug Administration (FDA) opens the door for medical devices with AI/ML to learn and improve after the product comes to market. The guidance, required by Congress in late 2022 as part of the fiscal year 2023 omnibus bill, addresses a long-standing challenge with the approval or clearance of […]

Every hour, healthcare and life sciences organizations continuously generate large amounts of structured and unstructured health data from multiple systems, applications, and devices. Secure exchange and use of this data using interoperability standards such as Fast Healthcare Interoperability Resources (FHIR) can lead to better clinical decisions, clinical trials, and operational efficiency. To drive this transformation, […]

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 […]

Blog is guest authored by Professor Ken Butcher, Medical Director of the New South Wales Telestroke Service and Andres Diaz-Pinto, Senior Deep Learning engineer at NVIDIA Annotating medical images accurately and at scale is a key prerequisite for training Artificial Intelligence (AI) models, which are later used for diagnostic support in a clinical production environment. […]

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 […]

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. […]

To our many customers and partners who work in Life Sciences, welcome to 2023, a year that I expect to be the turning point in how data science and machine learning (ML) accelerate development of new life-saving therapies. (I’ll share 2023 thoughts on Healthcare in an upcoming post.) The first reason I’m so optimistic is […]

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 […]

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 OpenSearch Service to store data, conduct near real-time searches, and use the OpenSearch Service dashboard to display data is one option to […]

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 patient experience could look like, in which the patient gets recommended the right doctor or specialist for a particular illness based on the patient’s symptoms. Introduction Despite recent […]