Tag: healthcare

As more and more healthcare companies use their data to remain competitive, protecting patient data is as critical than ever. With increasing adoption of AI/ML models in healthcare, making sure that these technologies comply with privacy regulations such as HIPAA and GDPR has become a top priority. Amazon Bedrock is a fully managed service that provides unified access to a diverse selection of high-performance foundation models from industry-leading AI companies. In this post, we walk you through the importance of healthcare data privacy and how to use Amazon Bedrock Guardrails to safeguard sensitive information in AI-driven healthcare solutions.

Chronic diseases are a growing global health crisis. These long-term conditions, which include cardiovascular diseases, cancer, diabetes, and respiratory illnesses, are the leading cause of mortality worldwide. In this post, we explore how a patient with chronic kidney disease (CKD) was able to successfully reverse her condition by breaking down healthcare silos, taking charge of her treatment and data, and adopting a comprehensive wellness-focused approach.

This post explores the architectural design and security concepts employed by Radboud University Medical Center Nijmegen (Radboudumc) to build a secure artificial intelligence (AI) runtime environment on Amazon Web Services (AWS). Business leaders dealing with sensitive or regulated data will find this post invaluable because it demonstrates a proven approach to using the power of AI while maintaining strict data privacy and security standards.

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.

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.

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.

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.

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.

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.

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.