Organization-wide revenue cycle metrics can look healthy while individual specialties quietly lose revenue through missed charges, authorization breakdowns, coding issues, and payer-specific rules. This episode explains how to uncover those hidden problems and turn specialty knowledge into more reliable workflows.

A successful reverification effort starts before anyone reruns eligibility. This episode looks at the decisions organizations need to make about who should be reverifed, what information they actually need, and what should happen when something changes.

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Jason Adams examines how missed charges, documentation gaps, payer friction, and disconnected workflows allow revenue to quietly slip through the cracks. He discusses how health systems can strengthen charge capture, improve operational visibility, validate financial impact, and build a sustainable approach to revenue recovery. The featured session was recorded at the Infinx Healthcare Revenue Cycle Thought Leadership Executive Forum in Chicago.

Staffing shortages may appear first as growing work queues or slower follow-up, but their financial impact can remain hidden for months. This episode looks at practical steps revenue cycle teams can take now to protect capacity, prevent backlogs, and keep today’s staffing challenge from becoming tomorrow’s cash problem.

Healthcare has made enormous progress in digitizing payments, yet paper checks, remittance documents, statements, and manual reconciliation are still part of the revenue cycle. Monte Sandler, COO of WebPT, joins us to discuss why these workflows persist and what providers can do to finally move beyond them.

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Automating eligibility and benefits verification takes more than establishing a connection to a payer. Benj Kamm explains how data quality, calibration, payer variation, and exception handling determine whether automation produces a complete and usable result.

Denial prevention requires healthcare organizations to look beyond back-end recovery and address the operational breakdowns that cause claims to be denied. Taylor Searfoss explains how stronger processes, cross-functional collaboration, and practical uses of AI can reduce rework and protect margins.

Radiology revenue cycle teams are being stretched by prior authorization complexity, staffing shortages, payer policy changes, fragmented systems, and denials that often begin long before the claim is submitted. This episode features a session at RBMA Founder’s Day 2026 where Stuart Newsome shared common themes emerging from real radiology practice conversations and explored the operational breaking points that are slowing down revenue, frustrating staff, and creating patient access delays. Listen in to find a practical framework for identifying their own highest-impact bottlenecks and understanding where automation, analytics, AI agents, and human expertise can make a measurable difference.Brought to you by infinx.com

AI delivers value in the revenue cycle when it is built into well-designed workflows supported by reliable data, governance, and clear measures of performance. Navaneeth Nair, Chief Product Officer at Infinx Healthcare, joins Stuart Newsome to discuss where AI is working today, from prior authorization and coding to denial prevention, recovery, and enterprise workflow orchestration.

Revenue cycle may be complicated, but managing it should not require constant executive attention. The goal is an operation dependable enough that leaders can focus on the exceptions instead of wondering whether the entire process is working.