The AI in Business Podcast
Building Readiness for AI Agents in Healthcare Systems - with Raheel Retiwalla of Productive Edge
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.
33:22
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Quick takeaways
- Agentic AI significantly enhances operational efficiency in healthcare by automating actions based on insights, reducing manual workloads for staff.
- Successful implementation of agentic AI necessitates robust data governance frameworks and foundational infrastructure to ensure accountability and compliance.
Deep dives
Understanding Agentic AI
Agentic AI represents a significant advancement over traditional AI models in healthcare. While traditional AI informs through insights, agentic AI takes action based on these insights, allowing for more automated and efficient workflows. For instance, rather than merely indicating that a patient is at high risk, agentic AI enables the orchestration of necessary actions, reducing the manual burden on healthcare staff. This capability becomes crucial in a value-based care system where collaboration and timely interventions are essential for optimal outcomes.
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