Tag: academic medical centers

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.

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.

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.

AWS is announcing a new global program to support organizations working to enhance health outcomes for underserved or underrepresented communities. We are providing AWS credits and technical expertise, committing $40 million over three years to help organizations develop solutions to improve health outcomes.

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.

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.

Rush University Medical Center embraced cloud transformation for internal operations and organizational needs as well as in response to the COVID-19 pandemic. The Rush analytics team worked with the city of Chicago department of public health to create a working reference implementation of a cloud-based public health analytics hub. This hub aggregates, combines, and analyzes multi-hospital data related to patient admissions, discharges and transfers, electronic lab reporting, hospital capacity, and clinical care documents of COVID-19 patients receiving care in and across Chicago hospitals.

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.

COVID-19 highlighted the existing shortage in personnel within healthcare and is now challenging many hospitals with high staff turnover and sick leave. Planerio created workforce management solutions that help healthcare organizations modernize their workforce administration. Their shift planning software uses artificial intelligence (AI) and takes into account a range of planning variables such as employee qualifications and availabilities, employee preferences and requests, requirements of different shifts and workplaces, legal regulations and tariffs, and more.

Be it aspirin for headache, or statin for cholesterol, or amoxicillin as an antibiotic, there are small molecules that we refer to as drugs that can offer therapeutic remedy. Given the range of possible molecule to protein combinations, finding the right small molecule that is able to bind strongly to a certain target site and inhibit its function is a time-intensive and challenging feat. Enter VirtualFlow, a new open-source software that performs screens, essentially matchmaking between molecules and proteins. Harvard Medical School researchers developed the VirtualFlow platform that tests compounds through computer simulations. Using AWS and an AWS Cloud Credit for Research grant, the researchers demonstrated that VirtualFlow is able to run on the cloud.