How AI Prioritizes Accounts for Revenue Cycle Follow-Up with Sandra Gubbine | Podcast Shorts from ArceeHQ

In this clip

Sandra Gubbine explains how agentic AI changes the daily workflow for accounts receivable follow-up teams by replacing manual list sorting with intelligent account prioritization. Before AI, follow-up staff had to decide each morning how to order their work with no system guidance, choosing between alphabetical, dollar amount, or other arbitrary sequences. Now the AI surfaces accounts based on payer payment patterns and timing, translating expertise that previously existed only in a manager's head into executable instructions every staff member can act on from the moment their shift begins.

Key Takeaway

When AI prioritizes accounts based on payer behavior and payment timing, follow-up staff can execute immediately rather than spending the first hour of every shift organizing their own work queues. Tacit managerial knowledge about which payer to call first becomes a daily system capability that scales across the entire team.

“It’s exciting because it takes people and takes their skill sets and lets them work to the top of their skill sets. It puts the right information rather than them spending an hour in the morning organizing what I’m going to do for the day.”
Sandra Gubbine, Vice President of Revenue Cycle, AtlantiCare

Agentic AIClaims Denial Management

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Sandra Gubbine

Season 1 · Episode 1 · 39 min

Bridging the Gap: AI and Digital Tools for Equitable Health Access

Sandra Gubbine · Vice President of Revenue Cycle, AtlantiCare

Sandra Gubbine shares how revenue cycle leaders should set priorities in a healthcare environment that is constantly shifting. She explains why sustainable process design and disciplined resourcing matter more than reactive firefighting, and why saying no is often the highest-leverage decision, especially during major revenue cycle system transitions. The conversation explores where patient financing and financial assistance programs fit into the RCM roadmap, including the reality of medical debt constraints and the importance of partnering with patients through payment plans and charity care pathways. Sandra also reframes denials as a broader set of payer behaviors, including record requests, payment delays, and DRG downgrades that can quietly create millions in revenue leakage. Sandra then walks through a digital initiative to reach uninsured and underserved populations, with lessons on vendor partnership, due diligence, and implementation discipline. She closes with a practical view of agentic AI in revenue cycle, using it to prioritize work for follow-up teams and proactively guide patients into Medicaid or financial assistance, and a leadership principle that compounds: self-reflection as the foundation for trust and change.

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