INFORMAZIONI SU QUESTO EPISODIO
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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ALTRI EPISODI IN QUESTO PODCAST
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Brought to you by www.infinx.com
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…
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
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.
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…
Dichiarazione di non responsabilità: Il podcast e la grafica incorporati in questa pagina provengono da Infinx Healthcare, che è di proprietà del suo proprietario e non è affiliato o approvato da Listen Notes, Inc.
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