AWS for Industries
Category: Healthcare
Netsmart Transforms Behavioral Healthcare with New Feature of AWS HealthScribe
While clinical documentation is a fundamental component of patient care, healthcare providers increasingly find themselves spending more time on documentation rather than quality patient interaction. Amazon Web Services (AWS) HealthScribe, a HIPAA-eligible service, helps healthcare vendors build clinical applications that responsibly leverage generative AI to write preliminary clinical documentation. Netsmart is a health information technology […]
Enhancing Life Sciences Operations with Amazon SageMaker Canvas
The Life Sciences industry is experiencing significant growth, with the global laboratory supplies market projected to grow at a 7.5 percent compound annual growth rate from 2023 to 2030, according to Grand View Research. As organizations face increasing pressure to optimize operations, Amazon SageMaker Canvas offers capabilities to meet these challenges head-on. We’ll dive into […]
Build a Unified Patient Index Using AWS Entity Resolution
Healthcare organizations and public health agencies handle vast amounts of patient data. Accurately managing and linking sensitive patient information across multiple, potentially disconnected, sources are crucial for care coordination, research, and public health efforts. Building a unified and accurate unified patient index enables healthcare providers to access comprehensive patient histories, researchers to assemble robust datasets, […]
Transforming Healthcare: Strategic Advantage of AWS for EHR Migration
Electronic health records (EHRs) are the backbone of clinical decision support. They can streamline the process of recording patient information, reduce errors, and allow for real-time updates. However, on-premises EHR systems have limitations. This is where the cloud comes in. EHRs on the cloud bring additional benefits compared to traditional on-premises EHR systems, like enhanced […]
Deploying a Statistical Compute Environment using R on Amazon EKS
This blog post describes how to deploy a statistical compute environment (SCE) on Amazon Elastic Kubernetes Services (EKS) using a single command deployment package. This solution uses Posit packages for Posit Workbench, Connect and Package Manager to enable customer flexibility, utilizing open-source communities for statistical compute use cases such as pharmaverse and others. As clinical […]
AWS heads to Nashville for ViVE 2025
Amazon Web Services (AWS) will be in Nashville February 16-19 for the upcoming ViVE 2025 event. We are looking forward to engaging with healthcare leaders on topics ranging from the realization of AI in healthcare to the importance of data governance and cyber security. AWS, built for healthcare, has the most purpose-built solutions for healthcare […]
Amazon Pharmacy Improved Prescription Processing Time by 90% with Gen AI
Generative AI is becoming a central component of success in nearly every industry. We have the unique opportunity to see how different businesses within Amazon are using generative AI to create transformative customer experiences—with nearly 1,000 generative AI applications in motion inside Amazon. This blog post is the first in a series that will explore […]
Expanding Epic on AWS: New database sizing enables larger healthcare deployments
Amazon Web Services (AWS), in collaboration with Epic, is announcing another increase in Epic on AWS customer database sizing, measured in global references per second (GRefs/s). Epic’s Chronicles Operational Database (ODB) can now be sized to 105 million GRefs/s on AWS. This is achieved on an Amazon Elastic Compute Cloud (EC2) U7ib-6tb.112xlarge instance combined with Amazon Elastic […]
Accelerating Genomic Data Discovery with AI-Powered Natural Language Queries
In the rapidly evolving field of Life Sciences, researchers and healthcare professionals face the challenge of efficiently accessing and analyzing vast amounts of complex genomic, clinical, and imaging data. Traditional data querying methods often require specialized technical knowledge of SQL and database structures, creating bottlenecks in research workflows and limiting the accessibility of valuable insights. […]
No-Code ML Approach to Predict Heart Disease with Amazon SageMaker Canvas
Build accurate predictive models for early disease detection, as demonstrated through a heart disease prediction use case that transformed complex medical data into actionable insights without requiring coding expertise.