AI Agents for Healthcare

Building AI Agent Readiness in Healthcare

Healthcare organizations need the right foundation before deploying AI agents. In this episode, we share a practical readiness model to help teams assess where they are and what they need next. Learn how to move from strategy to execution using a four-layer platform model, six steps for operationalizing AI responsibly, and a framework for identifying and scaling the right use cases.

Bringing It All Together: The Agentic AI Framework for Healthcare Transformation

This episode ties together the core themes from our first eight episodes—covering governance, care transitions, revenue cycle, value-based care, and more—into one cohesive framework. We explore how healthcare organizations can move from isolated AI use cases to a scalable, governed Agentic AI strategy that drives real transformation across payers and providers.

Agentic AI for Healthcare: Landscape, Use Cases, and Vendor Strategies

What’s happening in the Agentic AI market—and what should healthcare organizations do next? This episode covers insights from a new report on the state of Agentic AI in healthcare. We explore key trends, use cases for payers and providers, and how to evaluate vendors. You’ll also hear about prioritization strategies, implementation roadmaps, and what to watch out for as adoption accelerates.

Transforming Healthcare with Agentic AI: A Real-World Case Study

In this episode, we share how a national healthcare payer is using Agentic AI to improve Utilization Management and Care Management. Learn how Productive Edge helped identify high-impact use cases through an AI Action Planning Workshop and launched a pilot focused on automating service plan management. We discuss key lessons, quick wins, and a scalable path to broader AI adoption across UM and CM functions.

Transforming Revenue Cycle Management with Agentic AI

Revenue Cycle Management is full of manual work, disconnected systems, and costly delays. This episode explores how Agentic AI can change that. We dive into practical use cases—automated claims submission, denial management, and pre-auth simplification—and explain how specialized AI agents collaborate to streamline workflows and improve financial performance. Based on insights from a white paper by Raheel Retiwalla, we also outline a roadmap for adoption.