Agentic AI for healthcare data analysis with Amazon SageMaker Data Agent

Performing research and clinical analytics on vast amounts of clinical data can be difficult. Healthcare data scientists and epidemiologists possess deep domain expertise in patient care, disease patterns, and clinical outcomes, yet they often spend weeks navigating complex data infrastructures, writing boilerplate code, and wrestling with technical barriers before they can answer a single clinical question. This slows down research and delays evidence-based decisions, which might impact patient care.

On November 21, 2025, Amazon SageMaker introduced a built-in data agent within Amazon SageMaker Unified Studio that transforms large-scale data analysis. Amazon SageMaker Data Agent has a context-aware feature that saves time connecting to clinical data across clinical databases, patient cohorts, and organizational metadata, and autonomously breaks down complex analytical requests into structured, executable plans. For example, when you ask a clinical question, “Compare comorbidity patterns between diabetic and hypertensive patient cohorts,” the data agent thinks through the problem systematically. It ...