Podcast Short 1:42 October 27, 2026From Season 2, Episode 11

Why Clean Claim Pass Rate Is the RCM Vital Sign

KH
Ken Hogue·Chief Revenue Officer, United Health Services
In this clip

Ken Hogue names the clean claim pass rate as the metric he monitors most closely in daily revenue cycle operations, describing it as the indicator he lives or dies by. He extends the daily diagnostic beyond financial metrics to include what he calls non-traditional signals: team temperament, work queue depth, and days-work-on-hand. Together, these measures tell him whether the organization is keeping pace with incoming work or quietly building a backlog that will require resource rebalancing, and they surface staffing gaps before they compound. That combination of financial and operational pulse monitoring is what allows claims denial prevention to stay proactive rather than reactive.

Key Takeaway

Clean claim pass rate is the primary leading indicator of revenue cycle health, but understanding whether the organization is truly keeping up requires pairing it with team workload signals, including work queue depth and days-work-on-hand, to catch backlogs before they grow.

“to me it’s the clean claim pass rate, I kind of live or die with that with my blood pressure.”

Ken Hogue, Chief Revenue Officer, United Health Services

Claims Denial ManagementLeadership
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Ken Hogue
Season 2 · Episode 11 · 45 min

Building a High-Reliability Revenue Cycle: Denial Prevention, Agentic AI, and Leadership at United Health Services

Ken Hogue · Chief Revenue Officer, United Health Services

Ken Hogue brings a high-reliability organization framework to claims denial management, drawing on his leadership at United Health Services, the largest comprehensive healthcare system in the Greater Binghamton, New York region, where he has led revenue cycle transformation since 2020, including a landmark Epic implementation. He explains how UHS built its denial prevention capability into the foundation of its Epic deployment rather than layering it on afterward, how the HRO model has created a prevention-first culture with a dedicated SWAT team of denial resolution specialists, and how root-cause analysis drives decisions about when to apply technology automation versus front-end process discipline. The conversation covers a recent alternate payer and third-party liability verification initiative, the touches-per-clean-claim metric as a primary measure of initiative success, and Ken's framework for navigating the tension between operational quick wins and longer-horizon technology investments through sprint-based governance and compromise models. On agentic AI, Ken is direct that organizations no longer have a choice about whether to embrace it because payers are already using it, and describes the risks of automation fragmentation when policies change, the evolution of revenue cycle management toward managing people and technology workflows simultaneously, and the clean claim pass rate as his primary daily indicator of organizational health.

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