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The Business of Healthcare Podcast, Episode 124: The State of AI in Revenue Cycle Management for Healthcare

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Content provided by Jimmie Markham and Center for Healthcare Leadership. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jimmie Markham and Center for Healthcare Leadership or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

In this episode, David Dawson, senior vice president of Conifer Health Solutions, joins host Dan Karnuta to discuss the use of artificial intelligence in healthcare-related revenue cycle management. They discuss what RCM is, the issues that have caused inefficiencies in the RCM process and how AI is a promising solution for solving them.

Karnuta is director of the Professional Program in Healthcare Management at The University of Texas at Dallas Naveen Jindal School of Management.

  continue reading

105 episoade

Artwork
iconDistribuie
 
Manage episode 455150322 series 2033519
Content provided by Jimmie Markham and Center for Healthcare Leadership. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jimmie Markham and Center for Healthcare Leadership or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

In this episode, David Dawson, senior vice president of Conifer Health Solutions, joins host Dan Karnuta to discuss the use of artificial intelligence in healthcare-related revenue cycle management. They discuss what RCM is, the issues that have caused inefficiencies in the RCM process and how AI is a promising solution for solving them.

Karnuta is director of the Professional Program in Healthcare Management at The University of Texas at Dallas Naveen Jindal School of Management.

  continue reading

105 episoade

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