Category: Artificial Intelligence

Amazon Web Services (AWS) is heading to Las Vegas, NV for the upcoming HIMSS 2025 Global Health Conference & Exhibition, March 2-6, 2025. In alignment with the event theme, “creating tomorrow’s health,” the AWS for Healthcare team will showcase this commitment with compelling demonstrations, discussions, and speaking sessions. Our goal is to help organizations leverage […]

Many customers struggle to securely ingest, process, govern, and analyze sensitive healthcare data while adhering to vendor and regulatory requirements including HIPAA. In this blog, we introduce a technical offering that enables customers to efficiently solve these challenges. Solving the implementation challenges of healthcare data strategy Many healthcare organizations find it difficult to implement their […]

The genomic research landscape is evolving at an unprecedented pace, demanding robust and scalable solutions for data storage and analysis. In collaboration, MGI, Sentieon, and Amazon Web Services (AWS) provide capabilities to help with genomic research. Researchers and clinicians can now fully capitalize on the capabilities of MGI’s sequencing technologies by utilizing AWS HealthOmics and […]

Introduction: In today’s manufacturing landscape, organizations are integrating artificial intelligence (AI), machine learning (ML), data analytics, Internet of Things (IoT), and cloud computing. These technologies help improve efficiency, quality control, and innovation across various manufacturing processes. By using real-time data, predictive analytics, and automation, manufacturers can increase productivity and competitiveness in the global market. However, […]

In the high-stakes world of Formula 1 (F1), where victory is measured in milliseconds, innovation is vital for continued success. For decades, teams have pushed the boundaries of automotive engineering, constantly seeking that elusive competitive edge. The collaboration between Scuderia Ferrari HP and Amazon Web Services (AWS) is redefining the assembly process with data-driven manufacturing. […]

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 […]

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 […]

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, […]

Healthcare providers collectively acquire billions of medical images each year, and each new image is subject to complex clinical and research workflows that are unique to each organization. New medical images are read, modified, and shared by a myriad of software systems and propagated to other downstream applications. This interoperability is made possible with the […]

Co-authored by Falk Brauer, SVP, Product & Technology – CPQ, Zilliant, and Joshua Tan, Account Manager, AWS Excellent customer experience is a key reason why customers choose and continue to use a product. This is also true for software-based applications. An experience which allows productive use of the end users’ time is widely preferred. With […]