AWS for Industries

Category: Healthcare

Network considerations for healthcare workloads on AWS

Network considerations for healthcare workloads on AWS

Healthcare organizations are shifting more of their workloads to the cloud. These workloads, including medical imaging, present unique challenges due to their complexity, size, and requirements. Learn how to architect for success by addressing network considerations that exist when designing connectivity between the provider network and Amazon Web Services (AWS). Architecture Healthcare solutions create unique […]

Executive Conversations: Streamlining Clinical Trial Submissions in the Cloud with Debbie Profit of Otsuka Pharmaceutical

Executive Conversations: Streamlining Clinical Trial Submissions in the Cloud

The success of pharmaceutical and biotechnology organizations rests on their ability to bring new therapies to market, which requires submitting clinical trial data to regulatory agencies. However, it involves massive quantities of data and significant manual labor. To automate and optimize the process, life sciences organizations are leveraging curated solutions powered by the cloud—affording them […]

Delivering Consumer-friendly Healthcare Transparency in Coverage On AWS

Delivering Consumer-friendly Healthcare Transparency in Coverage On AWS

Consumers play a crucial role in healthcare cost management, but they must have relevant information in order to produce the market forces needed to achieve reduced healthcare prices. The Transparency in Coverage (TCR) rule requires health insurers (payors) and hospitals disclose their pricing agreements. This empowers consumers to shop and compare costs between specific providers before receiving […]

The value of a system of record for healthcare payors

The value of a system of record for healthcare payors

Leaders in the healthcare industry are increasingly recognizing how a data-driven approach can help them improve member satisfaction. Many of them have begun their transformative journey to adopt a member-first approach and unify disparate data silos. They recognize that the journey toward a unified system is strategic and will pay enormous dividends when completed. However, […]

Healthcare Providers Can Improve Patient Experience with Location Data

Healthcare Providers Can Improve Patient Experience with Location Data

Healthcare providers are challenged every day with providing customer care that meets each individual need. With location data, healthcare providers can help to accelerate patient care in multiple parts of their organization. Providers can use location data to enrich and standardize their database to ensure it contains accurate location information to help improve interoperability between […]

Executive Conversations: Realizing the Potential of Cloud Technology in Healthcare

Executive Conversations: Realizing the Potential of Cloud Technology in Healthcare

Vignesh Shetty, Senior Vice President and General Manager of Edison AI & Platform at GE Healthcare, joins Taha Kass-Hout, MD, MS Vice President and Chief Medical Officer at Amazon Web Services (AWS), to discuss strategies for building a modern data strategy to fuel innovation and improve patient care. GE Healthcare provides medical technology, pharmaceutical diagnostics, […]

Enable Secure and Efficient Clinical Collaboration With Amazon S3 Access Points

Enable Secure and Efficient Clinical Collaboration With Amazon S3 Access Points

Securely sharing clinical research data with collaborators and efficiently managing data access is a recurring challenge that clinical research teams face. Amazon S3 Access Points enable clinical researchers and healthcare IT teams to efficiently create, share, and maintain scalable access to clinical data in a shared Amazon S3 bucket at the individual user level. Introduction […]

Executive Conversations: Future-proofing population genomics initiatives through federation

Executive Conversations: Future-proofing population genomics initiatives through federation with Thorben Seeger of Lifebit

Population genomics initiatives amass a multitude of clinical, omics, and phenotypic data from diverse participants. This data is critical to a range of healthcare use cases, including biomarker discovery, drug repurposing, patient stratification, and precision medicine. However, strict data security and regulatory frameworks often make large-scale data migration unfeasible, creating a fragmented data landscape that […]

Simplifying Multi-modal and Multi-omics Analysis with AWS for Health *New AWS for Health Guidance: Multi-modal and Multi-omics*

Simplifying Multi-modal & Multi-omics Analysis with AWS for Health

New AWS for Health Guidance: Multi-modal and Multi-omics The new era of personalized health relies on data to guide more customized patient treatments, therapeutics, and diagnoses. Genomics sits at the core of personalized health, and by taking into account the individual variability among people and diseases, clinicians can create more personalized care journeys and targeted treatments. […]

Scalable Medical Computer Vision Model Training with Amazon SageMaker Part 2

Scalable Medical Computer Vision Model Training with Amazon SageMaker Part 2

Introduction Training medical computer vision (CV) models requires a scalable compute and storage infrastructure. Training a medical CV model is unique compared to training a CV model in other domains, as we described in the first part of this blog series. In this second post, we show you how we scale a medical semantic segmentation training […]