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Designing Governed Agentic AI Workflows for Healthcare Delivery

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As healthcare systems face rising complexity and demand, Agentic AI offers a new path forward. In this session, explore how SAS Intelligent Decisioning and large language models (LLMs) can be integrated with clinical protocols, deterministic logic, and real-time data to optimize patient care workflows. You’ll see how to design transparent, explainable agents that combine ML models with rule-based logic — aligning with regulatory requirements and governance best practices. From diagnostics to treatment planning, Agentic AI can help clinicians make faster, more consistent decisions. Learn how to build patient-centric AI workflows that serve aging populations, reduce delays in care, and increase operational efficiency — all while maintaining trust and compliance.

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