AI is often discussed as a technology story, but one of its biggest effects is showing up at the user level. People who were once limited to executing tasks inside fixed workflows can now use AI to draft, analyze, organize, research, and improve work in ways that were not as accessible before. That does not eliminate the need for expertise. In healthcare revenue cycle, it raises more important questions about where domain knowledge matters, where human judgment still has to stay in the loop, and how leaders should think about AI as a way to extend team capability rather than simply automate tasks.

In this Office Hours roundtable, Stuart Newsome is joined by Lindsey Nelson, Gretchen Manica, Jeremie Gluckman, and Viveka Jagadeesan for a practical discussion about the subtle but important ways AI is changing everyday work, how that shift mirrors the same staffing and efficiency pressures healthcare organizations face, and what revenue cycle leaders should consider as they adopt AI without losing sight of governance, context, and outcomes. That framing is consistent with the brainstorm’s emphasis on the “ordinary user” becoming more of a contributor, the need for human-in-the-loop oversight, and the importance of tying the conversation back to real RCM pressures rather than generic AI hype.

Learning Objectives

  1. Explain how AI is changing the role of everyday users from task executors to more active contributors in problem-solving, communication, and workflow improvement.
  2. Identify where AI can expand team capacity in revenue cycle work and where healthcare-specific expertise and human oversight still matter most.
  3. Describe how leaders can think about AI adoption more strategically, using it to support better systems, smarter work, and stronger outcomes rather than just faster output.

Thursday, April 30, 2026, 11:30 am PT / 1:30 pm CT / 2:30 pm ET

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