Tag: AWS healthcare

Connecting for Better Health (C4BH) is a nonprofit coalition focused on advancing health and social services data sharing to improve the overall health of Californians. To support this mission, AWS has awarded the 2024-2025 AWS IMAGINE Grant: Go Further, Go Faster to C4BH for their Data Exchange Framework (DxF) Community Sandbox. This grant is part of an AWS initiative to empower nonprofit organizations using technology to address global challenges and will provide vital support to enhance health and social services data sharing efforts across healthcare and social service partners.

Dr. Gao Wang’s innovative research at Columbia University, powered by AWS cloud computing, represents a cutting-edge approach to understanding Alzheimer’s disease through functional genetics. Read this post to learn more.

When Siriraj Medical Research Center planned their “Nanopore workshop: bacterial genome bioinformatics series” for more than 60 researchers, they faced a common challenge: how to provide consistent, high-performance computing environments for complex genomic analyses. AWS offered the solution through HAQM WorkSpaces, transforming how Siriraj Medical Research Center delivers hands-on bacterial genomics training.

PointHealth AI, a healthcare technology (HealthTech) startup, and Protege, a data innovator specializing in artificial intelligence (AI)-ready datasets, are working with HAQM Web Services (AWS) to combine de-identified demographic and clinical information from millions of patient records, in order to deliver more precise and informed treatment recommendations. This data-informed strategy aims to give doctors the information they need to prescribe the right care for a patient’s unique needs—on the first try.

At this year’s re:Invent conference, AWS is introducing Innovation Talks, which are deep dives hosted by AWS thought leaders. Dave Levy, vice president of AWS worldwide public sector, is hosting the session, “Empowering citizens through digital innovation” and will be joined by speakers from the Federal Reserve Bank of Boston, Covered California, and Singapore’s Smart Nation and Digital Government Group (SNDGG). Read this blog post to learn more about these featured customers.

The AWS public sector and AWS Training and Certification (T&C) teams worked with customers and partners across Latin America, Canada, and Caribbean (LCC) region to develop and test the recently launched AWS Industry Quest: Healthcare, an interactive learning experience that teaches how to build cloud solutions that can benefit healthcare customers globally.

Supporting and protecting the healthcare workforce is an essential investment in the continuity of health services. That’s why AWS is choosing to focus on training, retaining, and deploying healthcare workers with the launch of a new AWS Healthcare Accelerator. This is AWS’s first ever global healthcare cohort focused on workforce development.

Diabetes is a major chronic disease that often results in hospital readmissions due to multiple factors. An estimated $25 billion is spent on preventable hospital readmissions that result from medical errors and complications, poor discharge procedures, and lack of integrated follow-up care. If hospitals can predict diabetic patient readmission, medical practitioners can provide additional and personalized care to their patients to pre-empt this possible readmission, thus possibly saving cost, time, and human life. In this blog post, learn how to use machine learning (ML) from AWS to create a solution that can predict hospital readmission – in this case, of diabetic patients – based on multiple data inputs.

Singapore’s National University Health System (NUHS) collaborated with Integrated Health Information Systems (IHiS), Singapore’s technology agency for the public sector, to develop the OneNUHS App. The mobile healthcare application extends healthcare services beyond the hospital, providing telehealth services like video consultations with doctors and more. To accelerate time-to-launch, save costs, and support reliable access for Singaporeans, the OneNUHS app uses AWS.

Healthcare providers and healthcare systems want to modernize their healthcare data exchanges so they can better analyze and gain more insight from their clinical data. In this walkthrough, learn how to use AWS to migrate legacy healthcare messaging data into HAQM HealthLake, which can use artificial intelligence (AI) and machine learning (ML) to discover meaningful and actionable healthcare information embedded in unstructured text.