AI spending in healthcare nearly tripled between 2024 and 2025, reaching $1.4 billion, and roughly three in four US health systems now use at least one AI application.
But for most organizations, this first wave automated isolated tasks without moving the numbers that define financial performance: net collections rate, days in accounts receivable and cash per unit.
This session explores how revenue cycle teams are using agentic AI to connect workflows from claim submission through appeal resolution and how they measure those investments against core revenue cycle metrics.
You’ll learn:
- How agentic AI moves revenue cycle teams beyond task automation, from claims through appeals
- How to measure AI investments and digital-first billing against key revenue metrics
- Where human oversight matters as high-volume work is automated