AWS Public Sector Blog

Tag: healthcare

AWS branded background design with text overlay that says "Orange County United Way uses Amazon Connect to optimize 2-1-1 community service"

Orange County United Way uses Amazon Connect to optimize 2-1-1 community service

Serving hundreds of thousands of residents in all 34 cities of the region, Orange County United Way provides a wide range of vital community services throughout Orange County, California. After working with Amazon Web Services (AWS) Partner SoftwareONE to migrate its crisis hotline to Amazon Connect in the AWS Cloud, United Way now boasts enhanced call routing, data collection, and supervisory tools. Read this post to learn more.

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Unlock the power of fine-grained access control with Amazon Verified Permissions

Public sector organizations face stringent compliance requirements, and any unauthorized access to protected health information (PHI) or personal identifiable information (PII) can result in legal penalties and reputational damage. This post aims to demonstrate how public sector customers can develop a fine-grained authorization module using Amazon Web Services (AWS) identity services, extending beyond the capabilities of traditional role-based access control (RBAC), so they can achieve compliance objectives.

How startups PointHealth AI and Protege transform health treatment recommendations with AI on AWS

How startups PointHealth AI and Protege transform health treatment recommendations with AI on AWS

PointHealth AI, a healthcare technology (HealthTech) startup, and Protege, a data innovator specializing in artificial intelligence (AI)-ready datasets, are working with Amazon Web Services (AWS) to combine de-identified demographic and clinical information from millions of patient records, in order to deliver more precise and informed treatment recommendations. This data-informed strategy aims to give doctors the information they need to prescribe the right care for a patient’s unique needs—on the first try.

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Using AWS for EHDS: A technical guide to building a secure health data platform

In an earlier post, Build secure and scalable data platforms for the European Health Data Space (EHDS) with AWS, we discussed a reference architecture for building secure and scalable data platforms for secondary usage of health data in alignment with the European Health Data Space (EHDS) using Amazon Web Services (AWS). This follow-up post walks you through the technical implementation details for building such federated data governance and analysis platforms using AWS. Whether you are a healthcare organization, technology provider, or systems integrator, this post aims to equip you with the technical knowledge to build a secure data platform for secondary usage of health data in alignment with the EHDS Regulation.

AWS branded background design with text overlay that says "Securing the future of healthcare in the age of generative AI and connected care"

Securing the future of healthcare in the age of generative AI and connected care

The healthcare industry is undergoing a profound transformation, driven by the adoption of generative artificial intelligence (AI), cloud computing, and connected care devices. This digital revolution promises to improve patient outcomes, reduce costs, and enhance the overall healthcare experience. However, it also introduces new challenges in terms of cybersecurity, privacy, and regulatory compliance. To navigate this complex landscape, healthcare organizations are turning to scalable, affordable, and highly available cloud infrastructures such as Amazon Web Services (AWS) to build resilient, secure, and innovative solutions.

Complying with updated NIH Genomic Data Sharing policies on AWS

The National Institutes of Health (NIH) has long maintained guidelines governing the responsible management of controlled access human genomic and phenotypic data maintained in NIH-designated data repositories. Recently, the NIH updated these guidelines to align with the NIST SP 800-171 security standard, which defines a comprehensive framework for securing Controlled Unclassified Information (CUI). In this blog post, we will explore the specifics of the updated NIH guidance and outline how Amazon Web Services (AWS) can help customers build a compliant environment to meet these requirements.

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Extracting insights from PubMed articles using Amazon Q Business

PubMed Central (PMC) is a leading resource for biomedical literature, offering a vast repository of full-text biomedical and life sciences journal articles. While PMC offers immense potential to accelerate scientific progress, inform evidence-based practice, and drive innovation in the biomedical and life sciences fields, the sheer volume of data presents a significant challenge. This is where Amazon Q Business comes in. It’s a powerful service designed to streamline the process of analyzing vast amounts of scientific literature and provide valuable insights efficiently. Read this post to learn more.

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AWS at the World Health Summit 2024: Driving digital health innovation and global collaboration

The World Health Summit 2024 served as a pivotal platform for global health leaders, policymakers, and innovators to address pressing healthcare challenges and explore cutting-edge solutions. With more than 3,500 participants from 140 countries, 21,000 online viewers, and 65,000-plus social-media engagements, the summit was a testament to the commitment of global healthcare leaders to addressing health inequities and improving patient outcomes. As a strategic partner to the World Health Summit in 2024, Amazon Web Services (AWS) showcased its efforts and commitment to transforming healthcare by using technology worldwide. Read this post to learn more.

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Unlocking healthcare data with Amazon Q Business

Healthcare organizations face a significant challenge in making sense of the vast amounts of unstructured medical data trapped in patient records, lab results, and clinical guidelines. Approximately 97 percent of the 50 petabytes (PB) of healthcare data generated annually goes unused. This untapped resource could hold the key to improving patient care and saving valuable clinician time. Read this post learn how we built an innovative solution on Amazon Web Services (AWS) generative artificial intelligence (AI) capabilities that lets clinicians unlock this data treasure trove.

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Operationalizing SAS on AWS with the American College of Radiology

The American College of Radiology (ACR) is a nonprofit organization and world leader supporting the radiology community. Founded in 1923, ACR represents more than 41,000 diagnostic and interventional radiologists, radiation oncologists, nuclear medicine physicians, and medical physicists. In this post, we share how ACR implemented a Statistical Analysis System (SAS) solution on Amazon Web Services (AWS) to accomplish their big data processing and analysis needs, resulting in better cost optimization, performance improvements, and improved scalability.