Tag: healthcare

Public sector organizations are experiencing a high volume of requests for information ranging from health to finances to municipal services. At a time when in-person interaction is limited, citizens can call into contact centers to get the insights they need to make real-time decisions about their health and safety. Many organizations are turning to the cloud to quickly scale and deploy a contact center. But, understanding your cloud contact center at granular level can help better serve your constituents.

The EHDEN Academy is launching a no-cost online e-learning platform to train researchers on the mapping of patient data in the OMOP Common Data Model and the use of Observational Health Data Sciences and Informatics (OHDSI) tools to perform health analysis. The EHDEN Academy is the global educational resource for those working with data to generate real-world evidence and outcomes research. The EHDEN Academy is open to the public to better support the need for technical expertise in Europe and abroad.

Academic medical centers (AMCs) are under pressure to reduce costs, innovate at scale, and improve operational performance. To do this, they’re turning to the cloud. Two AWS Partner Network (APN) Public Sector Partners used the cloud to create solutions for AMCs that use large datasets to help advance medical research and analyze genomic data. Learn how these two partners are building solutions in the cloud to help AMCs further their mission.

Finding IT budget to drive new initiatives can be a challenge, especially for public sector organizations. Most public sector organizations use IT funds for foundational initiatives such as disaster recovery, supporting critical applications, or delivering key collaboration tools. As new priorities emerge, organizations might not have the funds to adopt new workloads or advanced technologies that address urgent, new, or emerging needs. Amazon Web Services (AWS) provides cost optimization tools, services, and guidance to help public sector organizations lower cloud costs so they can better serve their stakeholders and achieve their missions.

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, Amazon 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. Amazon 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.