Category: Healthcare

Introduction Building production-ready agentic AI solutions can present significant challenges—from navigating complex architectures to establishing clear development patterns. The life sciences industry adds further complexity: strict regulations, diverse data modalities, and the variety of diseases all require additional time and specialized approaches. At AWS, we believe there’s a better path forward. AWS continues to invest […]

In part 1- Healthcare Industry lens, we shared an overview of the impact of the European Union (EU) Data Act on Healthcare IoT, Act core requirements, and demonstrated how Amazon Web Services (AWS) services can be used to create data workflows to support efforts to meet requirements. Technical implementation guide Now that you’ve learned about […]

Introducing the Amazon Web Services (AWS) Healthcare Learning Plan for Executives, a no-cost educational resource designed to address the digital transformation opportunity in healthcare. It outlines how leaders in the healthcare sector can quickly gain essential cloud knowledge to drive successful transformation initiatives without compromising on security and compliance. Background Healthcare stands at a transformative […]

It can be challenging to build a real-time agentic AI applications that interacts with AWS HealthLake datastores. This requires deep knowledge of fast healthcare interoperability resources (FHIR) operations and Amazon Web Services (AWS) SDK implementations. We’re excited to share an open-source Model Context Protocol (MCP) server. It streamlines healthcare data operations by providing natural language […]

Treating complex patients can be difficult. The ability to see how other patients with similar symptoms or conditions were treated and what their outcomes were can help clinicians better understand how to approach their own patients. Traditional search, however, falls short for nuanced clinical care scenarios (for example, post-Norwood arrhythmias responsive to alternative pacing). Clinicians […]

At the 14th annual AWS re:Invent, more than sixty-thousand executives, developers, and industry leaders united in Las Vegas to discover and explore the most cutting-edge data and AI innovations. Amidst dozens of launches, hundreds of demos, and thousands of sessions, healthcare and life sciences customers took center stage. They shared real-world use cases to demonstrate how they’re […]

Introduction Across the healthcare and life sciences (HCLS) industry, organizations are generating large volumes of data with potential to improve patient care. However, transforming this data into meaningful insights can be challenging for many institutions. Privacy regulations like Health Insurance Portability and Accountability Act (HIPAA), EU General Data Protection Regulation (GDPR), and requirements for data […]

Introduction In the evolving landscape of healthcare technology, the intersection of Internet of Things (IoT) devices and data regulation presents both unprecedented opportunities and complex challenges. The European Union (EU) Data Act became applicable in September 2025, marking a new regulatory milestone for how IoT-generated data is managed, shared, and protected within the EU. For […]

Pharmacists and pharmacies are on the front lines of ensuring the right medications reach the right patients safely. By digitizing and streamlining pharmacy workflows, operational efficiency and safety are improved. Consequently, it also empowers pharmacists to focus more time on patient-centered activities (such as clinical decision making, patient counselling and safety oversight). Digitalization enhances the […]

Dental AI should streamline workflows, not create downtime. Henry Schein One and Amazon Web Services (AWS) are currently collaborating on the dental industry’s first AI-augmented practice management system to master clinical capacity optimization. Let’s explore how this new AI-infused roadmap will change the industry. Core deliverables and strategic intent Henry Schein One is a leading […]