AWS Public Sector Blog

Category: Academic medical centers

AWS branded background design with text overlay that says "Powering education, state and local leaders: Insights from the AWS IMAGINE keynote"

Powering education, state, and local leaders: Insights from the AWS IMAGINE keynote

Kim Majerus, vice president of global education and US state and local government for worldwide public sector at Amazon Web Services (AWS), led the keynote address at the AWS IMAGINE conference for education, state, and local leaders. Majerus shared how AWS customers are innovating for their communities with the cloud and announced new public sector initiatives from AWS. Two special guests joined Majerus on stage to share how a culture of innovation is transforming the student and citizen experience at their organizations. Read this post for some of the highlights from the AWS IMAGINE conference keynote.

AWS branded background design with text overlay that says "7 reasons to attend the 2024 AWS IMAGINE conference for education, state, and local leaders"

7 reasons to attend the 2024 AWS IMAGINE conference for education, state, and local leaders

Leaders in education and state and local government know that technology is changing at a rapid pace. Generative artificial intelligence (AI) and other advanced technologies present more opportunities for institutions and agencies to make data-driven decisions, accelerate research, create personalized and convenient student and citizen services, automate processes, and more. But how can you turn these opportunities into reality? That’s the central theme of this year’s AWS IMAGINE conference for education, state, and local leaders presented by Amazon Web Services (AWS).

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Brain Data Science Platform increases EEG accessibility with open data and research enabled by AWS

About 4.5 million electroencephalogram (EEG) tests are performed in the US each year. That’s more than if every person in Oregon, Connecticut, or Iowa got an EEG. Because they provide insights into brain activity and not just structure, EEGs are one of the most common tests ordered by doctors to help make a diagnosis for people with brain problems. The Brain Data Science Platform (BDSP), hosted on Amazon Web Services (AWS), is increasing EEG accessibility through cooperative data sharing and research enabled by the cloud. Read this post to learn more.

New AWS survey reveals the link between AI fluency and the next education revolution

Access Partnership recently conducted a study commissioned by Amazon Web Services (AWS) on AI skills across various industries globally—including education. The study found that employers and employees in the education sector anticipate that AI utilization will improve productivity by more than one-third. Read this post to learn more about this finding, and others, and what it means for the education sector.

Guidance for academic medical center data center migrations

Guidance for academic medical center data center migrations

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. But developing a request for proposal (RFP) for a data center migration to the cloud can be challenging for organizations who have not used cloud at scale yet. This blog post presents guidance for procurement practices that can be used when an AMC is looking to solicit cloud services for a data center migration separate from the integration services to perform the migration.

AWS celebrates 2023 cohort of Education Champions

To celebrate the leaders and organizations that are propelling the academic landscape forward, AWS announced the 2023 cohort of Education Champions at IMAGINE: Education, State and Local Leaders 2023 Conference. The 2023 AWS Education Champions are pioneers that demonstrate meaningful digital transformation at their education institution to improve student outcomes, build institutional resiliency, accelerate research that can lead to life-changing discoveries, and more – all using the AWS Cloud.

Unifying nonprofit healthcare data using Collibra Data Intelligence Cloud

Nonprofit organizations tend to have a lot of data that resides in systems that don’t interact with each other. For organizations in the nonprofit healthcare industry, this problem is made more difficult to manage by the sheer volume of data that they collect. Solving this data unification problem is the reason that Collibra, an AWS Partner, built the Collibra Data Intelligence Cloud. Froedtert and the Medical College of Wisconsin (F&MCW), a nonprofit academic medical center in Milwaukee, Wisconsin, uses the Collibra Data Intelligence Cloud on AWS to unify access to diverse datasets to improve patient outcomes.

Wellforce announces migration of the health system’s digital healthcare ecosystem to AWS

By taking the lead in digital healthcare transformation, Wellforce is estimated to save as much as 20 percent annually (approximately $3 million USD) through the modernization of the healthcare IT ecosystem using the cloud. This innovative approach serves as one of the first examples that healthcare systems across the nation, and world, can replicate.

Covid-19 vaccine in vials in a laboratory

COVID-19 vaccination scheduling: Scaling REDCap with AWS

Vaccine demand brought unprecedented load to the launch of Texas A&M Health’s vaccination sign-up site. The Texas A&M Health team used AWS to develop a solution to reduce outages and errors, and scale REDCap to get vaccines to Texans.

A generalized approach to benchmarking genomics workloads in the cloud: Running the BWA read aligner on Graviton2

The AWS Cloud gives genomics researchers access to a wide variety of instance types and chip architectures and this elasticity allows us to rethink genomics workflows when running workloads in the cloud. Given the increased performance of the Graviton2 instances, we wanted to explore if they can be used for cost-effective and performant genomics workloads. Read on to learn about our generalized approach for determining the most effective instance type for running genomics workloads in the cloud.