Course catalogue

Original Delivery Date: Tuesday, October 6, 2026, 2:00 PM – 3:00 PM CST

Not every revenue cycle workflow needs artificial intelligence, and applying it where rules-based automation already works can add unnecessary cost and complexity. This webinar explains how healthcare finance and revenue cycle leaders can determine which work is best suited for traditional automation, agentic AI or human expertise. Presenters will examine how to identify appropriate use cases, design effective hand-offs and oversight, measure operational and financial value, prepare teams for changing responsibilities, and establish the controls and evidence needed to expand AI responsibly.

Speakers

Learning Objectives

• Differentiate rules-based automation, agentic AI and human expertise based on the revenue cycle work each is best suited to perform
• Identify workflows where variability, exceptions, incomplete information or multi-step reasoning may justify an agentic approach
• Define the respective roles of technology and revenue cycle professionals within an AI-enabled operating model
• Evaluate potential use cases based on operational value, cost, risk, measurability and organizational readiness
• Determine the measures, controls and evidence needed to expand an AI-enabled workflow responsibly