À PROPOS DE CET ÉPISODE
In this episode of Revenue Cycle Optimized, David Byrd, SVP of Business Development at Infinx, and Carlie Richard from Maverick AI discuss how autonomous coding can improve speed, accuracy, and scalability in radiology revenue cycle operations. The conversation highlights a connected model where AI handles routine coding in seconds while certified human coders manage exceptions, audits, compliance oversight, and denial prevention.
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Rechercher les épisodes précédents de Revenue Cycle Optimized.
AUTRES ÉPISODES DANS CE PODCAST
Recorded at the Becker’s Health IT + RCM Conference in Chicago, this special episode brings together perspectives from healthcare leaders on what’s changing in revenue cycle, where challenges remain, and how technology is shaping the work.
Brought to you by www.infinx.com
Revenue cycle workflows are designed around standard cases, but recurring exceptions can quietly consume the team’s capacity. This RCMinutes episode explores how to categorize that work, route it by urgency and complexity, and address the upstream problems that keep refilling the queue.
Stuart Newsome sits down with Infinx colleagues Heather Riley Swanson and Nathan Skorick following Becker’s to hear what stood out from their time at the conference. Drawing on sessions and conversations throughout the event, the group considers where AI and revenue cycle strategy appear to be head…
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 rel…
Temporary fixes have a habit of becoming permanent revenue cycle processes, adding extra touches, inconsistent outcomes, and operational risk. This RCMinutes episode examines the hidden cost of workarounds and offers a practical way to replace them with workflows that can actually scale.
Avertissement: Le podcast et les illustrations intégrés sur cette page proviennent de Infinx Healthcare, qui est la propriété de son propriétaire et n'est ni affilié ni approuvé par Listen Notes, Inc.
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