AWS Government, Education, & Nonprofits Blog

Category: Healthcare

doctor filling out chart of female patient

Using artificial intelligence to help increase breast screening attendance

University Hospitals of North Midlands Trust’s Breast Care Unit approached Redmoor Health to discuss innovative ways to improve patient engagement. Turning to social media, the Health Innovation Campus at Lancaster University, Redmoor Health, and the National Health Service (NHS), began using Facebook to reach the at-risk demographic (women 49+ years old). Through this collaboration, they saw the number of patients attending vital breast screening appointments increase by 13% – among the best in the country.

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Grand River Hospital builds data lake on AWS, achieves “seamless business continuity”

In 2019, Grand River Hospital turned to AWS to build the first AWS healthcare data lake in Canada. The data lake was built to house the hospital’s sensitive patient and administrative data while retiring its legacy hospital information systems, comprised of electronic patient record and other administrative systems. Grand River Hospital in Ontario, Canada is a 580-bed community hospital with a yearly operating budget of around $400 million CAD serving a community of 600,000-650,000 people.

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Using AWS DeepLens to detect falls

Automating fall detection with AWS DeepLens

What if someone in a hospital room or public train station suddenly falls due to a stroke or other health issue? An automated monitoring system like AWS DeepLens, a deep learning-enabled video camera for developers, could detect such falls and contact emergency services in a timely manner. Using AWS DeepLens, I created a solution.

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Patient-centered health: How AWS helps patients take control of their own health data

Imagine: Transforming the patient and caregiver experience by streamlining health providers and administrative staff interactions and calculating risk score and clinical decision support systems to offer clinicians actionable insights at the point of care. Establishing healthcare data interoperability interfaces, like Fast Healthcare Interoperability Resource (FHIR), can help empower patients and improve their care.

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Cancer Research UK video capture

Cancer Research UK finds freedom and culture change with AWS and the cloud

As nonprofits work toward their missions, resource efficiency is top of mind, so that as much of their budget as possible is dedicated to achieving their mission. Working with limited budgets, nonprofits and charities use the cloud to help them remain lean, scale their missions, and address their skills gaps. Cancer Research UK (CRUK) is the world’s largest independent cancer charity dedicated to saving lives through cancer research.

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microscope in lab closeup

Structural biologists learning cryo-electron microscopy can access educational resources powered by AWS

Cryo-electron microscopy (cryo-EM) — the technology that won the 2017 Nobel Prize in Chemistry — lets scientists peer into the molecular “machines” at work in our cells in ways that were previously impossible. Using advanced microscopes, cryo-EM captures images of proteins flash-frozen in vitreous ice, revealing their 3D structure in near-native states. Even as access to this technology improves, many researchers are still limited by computing bottlenecks. The cryo-EM field needs to provide more hands-on training in how to process such large datasets. Amazon Web Services (AWS) allows us to provide training, broadening the impact of this important structural biology technology.

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genomics DNA image

Tracking global antimicrobial resistance among pathogens using Nextflow and AWS

The Centre for Genomic Pathogen Surveillance (CGPS) is based at the Wellcome Genome Campus, Cambridge and The Big Data Institute, University of Oxford in the United Kingdom. Much of its work involves collaborating with laboratories around the world to enhance genomic surveillance by using big data, engineering, training, and genomic capacity building. Ultimately, the Centre hopes to enable the linking and real-time interpretation of data globally to track pathogens and antimicrobial resistance at an affordable rate. Typically, spikes in cost for research are a common challenge for laboratories. With the cloud, the team wanted to mitigate their costs, and particularly those of their partners in low and middle-income countries, by exploring the Amazon Web Services (AWS) Cloud’s pay-as-you-go infrastructure.

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Amazon Comprehend Medical icon

Improving patient care in Canada with Amazon Comprehend Medical

Amazon Comprehend Medical is a natural language processing (NLP) service that simplifies the use of machine learning (ML) to extract relevant medical information from unstructured text often found in clinical charts or doctor’s notes. Since the service launched in the AWS Canada (Central) Region in June 2019, it opened up possibilities for Canadian healthcare organizations to better serve patients. Vancouver General Hospital (VGH) and University of British Columbia (UBC) researchers are among the organizations who leverage Amazon Comprehend Medical and Amazon SageMaker, to create their own machine learning models that can triage x-rays to provide a better healthcare experience.

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