Tag: healthcare

As the world grapples with COVID-19, researchers and scientists are united in an effort to understand the disease and find ways to detect and treat infections as quickly as possible. Today, HAQM Web Services (AWS) launched CORD-19 Search, a new search website powered by machine learning that can help researchers quickly and easily search tens of thousands of research papers and documents using natural language questions.

Data related to healthcare, in both volume and variety, is undergoing a tremendous expansion. One of the best ways to tackle complicated data integration is through a data lake: a centralized, curated, and secured repository that stores all your data, both in its original form and prepared for analysis. A data lake enables you to break down data silos and combine different types of analytics, such as data warehousing, big data processing, or operational analytics, to gain insights and guide better business decisions.

Using AWS and open-source software, Fred Hutch built a single, user-friendly, browser-based solution, Motuz, to streamline and simplify upload of large quantities of data. Motuz helped Fred Hutch de-silo its data and make it shareable and accessible.

Data is an organization’s critical asset, which is why safeguarding it against ransomware attacks, natural disasters, emergencies, or technical failures is a top priority. Legacy data storage, such as tape, makes sharing and protecting data costly and time consuming. AWS released a series of educational webinars and whiteboarding videos that discuss how to raise the bar on data protection in the AWS Cloud.

The rapidly changing and dynamic global health situation has impacted the lives of many people including researchers at universities and institutions worldwide. Many academic institutions are migrating to remote operations. Researchers are processing data, collaborating online, and trying to maintain labs remotely. HAQM and AWS are responding to these events in support of our communities and deploying resources and technology to enable remote learning and home working.

From accelerating genomics research to addressing the teacher shortage to improving commutes, artificial intelligence (AI) and machine learning (ML) are fueling digital transformation in the government, education, nonprofit, and healthcare sectors. Austin Tanney, head of AI at Kainos, shared his ML learnings and where he sees the technology going.

Cloud-based technology is supporting healthcare organisations and governments in response to the evolving COVID-19 situation. Healthcare providers and professionals, governments, and patients around the world are facing an unprecedented challenge. Here are some of the ways that these health-focused organisations use cloud-based technology to help improve patient services and outcomes.

Organizations across the globe are using advanced analytics and data science to predict and make decisions. They are finding ways to use their vast and diverse data stores to predict the best place to put their next retail store, what products to recommend to customers, how many employees they need for peak hours of operation, and how long a piece of machinery has until it needs maintenance. Public sector organizations in government, education, nonprofit, and healthcare are looking to use data to advance their missions too. Learn how.

AWS is grateful for our AWS Partner Network (APN) Public Sector Partners that have stepped up to support customers during this rapidly changing and dynamic global health situation. I thought I’d share a few examples of how our innovative and agile APN Partners are collaborating with public sector organizations around the world. I hope this list gives you some ideas of ways in which our partner community can support you during this time. Here are just a few examples:

How can healthcare organizations use HAQM Web Services (AWS) to better serve patients and meet their mission? Learn how government, education, and nonprofit healthcare organizations are using the AWS Cloud to keep patient information secure, achieve interoperability, and speed time to science.