AWS Public Sector Blog
Tag: Amazon Comprehend Medical
Delivering secure and operational telemedicine for military combat training with AWS
The Uniformed Services University Health System (USUHS) is the nation’s federal health professions academy, offering a curriculum and educational experience that emphasizes military healthcare, leadership, readiness, and public health. Each year, USUHS holds a training exercise called Operation Gunpowder to help prepare third-year medical students for varying field-care challenges they may encounter during their service. Over the course of the eight weeks prior to the training exercise, AWS collaborated with Deloitte to deliver ancillary system and operational medicine telemedicine best practice training to the participating students. “This is the first time telemed has truly delivered,” reported attending experts in special operations medicine.
How to deploy HL7-based provider notifications on AWS Cloud
Electronic notifications of patient events are a vital mechanism for care providers to improve care coordination and promote appropriate follow-up care in a timely manner. This post shows how a combination of Amazon Web Services (AWS) technologies, like AWS Lambda, Amazon Comprehend Medical, and AWS Fargate, can effectively manage and deliver actionable data to help healthcare customers deliver electronic notifications in a secure and efficient way.
How to create a task-generating voicemail solution with Amazon Connect
It’s time consuming for public sector organizations to sort through packed voicemail inboxes, figure out how to respond, return calls, and take detailed records on each call. So AWS developed a scalable call center solution that allows organizations to streamline the entire call process – from call intake, to generating actionable insights for response with artificial intelligence, to detailed recordkeeping and storage. This blog post guides you through how to create this task-generating cloud call center solution with Amazon Connect.
Supporting people with hearing loss through cloud-enabled solutions
In 2021, one in six Australians—almost four million people—have hearing loss, ranging from mild to profound. The statistic is part of the larger global picture reported by the World Health Organization (WHO) that approximately 466 million people live with hearing loss; of these, 34 million are children. In addition, 1.1 billion young people are at risk of hearing loss due to exposure to noise in recreational settings and through personal audio devices. AWS offers services that will help organizations build end-to-end solutions with accessibility in mind and improve day-to-day activities such as social interactions, clinical consultations, live media, and public service announcements.
Treating cancer with the power of the cloud
Cancer Commons is a nonprofit network of patients, physicians, and scientists dedicated to helping patients identify and access the best personalized treatment options. Erika Vial Monteverdi, executive director of Cancer Commons, describes how the AWS compute infrastructure, combined with services like Amazon Comprehend Medical, enable physicians and patients to leverage the collective knowledge of the world’s top institutions.
AWS launches machine learning enabled search capabilities for COVID-19 dataset
As the world grapples with COVID-19, researchers and scientists are united in an effort to understand the disease and find ways to detect and treat infections as quickly as possible. Today, Amazon Web Services (AWS) launched CORD-19 Search, a new search website powered by machine learning that can help researchers quickly and easily search tens of thousands of research papers and documents using natural language questions.
Exploring the future of AI and ML in the public sector
From accelerating genomics research to addressing the teacher shortage to improving commutes, artificial intelligence (AI) and machine learning (ML) are fueling digital transformation in the government, education, nonprofit, and healthcare sectors. Austin Tanney, head of AI at Kainos, shared his ML learnings and where he sees the technology going.
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.
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.
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.