Mayo Clinic and Jefferson Health Leaders Outline Enterprise Approach to Implementing AI in Revenue Cycle Management

Experts say AI can accelerate RCM improvement after workflows, decision rights and governance structures are redesigned

Published on Mar. 5, 2026

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Revenue cycle transformation is shifting from individual technologies to enterprise operating model redesign, according to leaders from Mayo Clinic and Jefferson Health. They described how their organizations are repositioning revenue cycle as a core component of care delivery, with AI serving as an accelerant rather than a strategy itself. This approach requires new organizational capabilities, including clear decision rights, cross-functional accountability and an operating model designed for continuous change.

Why it matters

As revenue cycle processes become increasingly interconnected, linking access, clinical operations, patient experience and workforce efficiency, health systems need a more systematic approach to improvement. Implementing AI in revenue cycle management requires an enterprise-wide redesign of workflows, roles and decision rights, rather than a technology-only solution.

The details

Mayo Clinic and Jefferson Health are taking an enterprise approach to implementing AI in revenue cycle management (RCM). This involves redesigning workflows, decision rights and governance structures to enable continuous change and cross-functional accountability. The health systems are moving revenue cycle performance upstream, embedding financial clearance processes earlier in the care journey and connecting front-end processes to mid-cycle and back-end performance.

  • In March 2026, leaders from Mayo Clinic and Jefferson Health discussed this approach at the ViVE digital healthcare conference.

The players

Patricia Henwood, MD

Chief clinical officer and executive vice president at Jefferson Health in Philadelphia.

Maneesh Goyal

Chief operating officer at Mayo Clinic.

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What they’re saying

“We're entering a really important time where we start thinking about the work chart and not just the org chart for organizations. For revenue cycle leaders that means mapping how work actually moves across the enterprise — from scheduling and authorization through coding, billing and payment — and then aligning decision rights and performance metrics accordingly.”

— Patricia Henwood, MD, Chief clinical officer and executive vice president (hfma.org)

“Revenue cycle is not a singular thing. We treat it that way. But it's not a singular thing. The way it plugs into day-to-day decision-making goes down into the individual departments and subspecialties across the organization. And so, you must implement change in a way that is both broad and respects the individual nuances of each area affected.”

— Maneesh Goyal, Chief operating officer (hfma.org)

What’s next

The health systems are continuing to redesign their revenue cycle management processes as part of a broader sociotechnical transformation, with a focus on governance, decision rights and cross-functional accountability.

The takeaway

Implementing AI in revenue cycle management requires a holistic, enterprise-wide approach that goes beyond just technology. Health systems must redesign workflows, roles and decision rights to enable continuous improvement and cross-functional collaboration, rather than relying on AI as a standalone solution.