

Building Readiness for AI Agents in Healthcare Systems - with Raheel Retiwalla of Productive Edge
17 snips May 1, 2025
Raheel Retiwalla, Chief Strategy Officer at Productive Edge, discusses the groundbreaking potential of agentic AI in healthcare. With two decades of experience, he explains how agentic AI differs from traditional models by enabling actionable insights. They explore the integration of AI agents and the necessary governance frameworks for success. Raheel highlights real-world applications that enhance patient outcomes and streamline workflows. He underscores the importance of aligning IT with operational needs to maximize efficiency in healthcare systems.
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Agentic AI Transforms Workflows
- Agentic AI acts on insights autonomously, unlike traditional AI that only informs decisions.
- It orchestrates actions across silos, transforming healthcare workflows significantly.
AI Agent Eases Care Manager Work
- A care manager uses an AI agent that prioritizes daily tasks and pre-fills call scripts to schedule appointments.
- This reduces manual searching and streamlines care coordination efficiently.
Layered AI Infrastructure Needed
- Build AI readiness on three layers: foundational AI platform, agentic AI platform, and healthcare tools.
- Focus on modularity, memory, tool use, and policy layers to enable intelligent, compliant AI actions.