AWS Public Sector Blog
Tag: health and AWS
Pediatric cancer researchers use AWS to accelerate Cancer Moonshot
Earlier this year, US President Joe Biden set a goal to end cancer as we know it by improving prevention, screening, diagnosis, and treatment. To answer this call, AWS is expanding its ongoing work with the Children’s Brain Tumor Network (CBTN). Together, AWS and the CBTN will enable researchers and clinicians to share and analyze medical record, imaging, genomic, and other data in near real-time to speed development of new therapies for pediatric brain cancers.
Predicting diabetic patient readmission using multi-model training on Amazon SageMaker Pipelines
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 OneNUHS App uses AWS to help patients take ownership of their health
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.
How to modernize legacy HL7 data in Amazon HealthLake
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 Amazon HealthLake, which can use artificial intelligence (AI) and machine learning (ML) to discover meaningful and actionable healthcare information embedded in unstructured text.
World Health Day 2022: Leveraging the cloud to build a healthier tomorrow
Today marks World Health Day, and this year’s theme is “Our planet, our health.” The World Health Organization (WHO) is using this day to drive global attention to the urgent actions needed to protect our planet and prioritize well-being in societies, and supporting these efforts is core to our principles and values at AWS. We’re proud to support our customers and partners who are solving some of society’s biggest problems with the cloud to make these ideas and changes a reality. Here are just a few examples of how our customers are leveraging AWS technology to innovate for our planet and our health.
Amazon Alexa helps deliver and expand patient care across Canada
Across Canada, hospitals, care providers, academic health sciences centers, and more are using accessible, scalable technology to support their staff and provide faster, better access to citizens in need of care. With Amazon Alexa, patients only need their voice to answer a few questions and get started towards healing.
How technology and the cloud bring transparency to citizen data
As technology makes it easier to connect with constituents, state and local governments are looking to build systems centered around and empowered by the citizen experience. This is especially the case with health and social services agencies. Public health systems often struggle to connect data across agencies and systems—leaving some communities without the insights they need to optimally allocate resources or to take action in the face of emerging epidemics. In a keynote address to over 800 government health IT leaders, Taha Kass-Hout, senior leader of healthcare and artificial intelligence at Amazon Web Services (AWS), said, “It’s not for a lack of technology, and it’s not for a lack of passion. It’s about the difficulty alleviating the heavy lifting that leaves agencies extremely resource constrained.”