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Ep. 7 Ascent's Automated RCM Solution

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Manage episode 288871486 series 2860835
Content provided by Medical Advantage. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Medical Advantage 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://player.fm/legal.

Ascent's Automated RCM Solution

Revenue Cycle Management, or RCM, is one area where medical organizations are increasingly turning to software solutions that optimize and automate RCM workflows. At the forefront of this software development is Ascent Healthcare, creators of a revolutionary new program that uses pattern recognition and #machinelearning to automatically and intelligently optimize RCM and claims reimbursement processes, and increase revenue and ROI for clients large and small.

Medical Advantage – a partner with Ascent Healthcare assisting with making their software more available to organizations nationwide – recently sat down with Bill Stone, Executive Vice President of Ascent, to learn more about how this new software is changing the game for healthcare organizations by reducing administrative burden, optimizing and automating RCM workflows, and increasing ROI.

This is the seventh episode in the Medical Advantage Podcast, where each we take time each episode to discuss the ideas and technologies changing healthcare, and the best practices your organization can take to stay productive and profitable. Subscribe wherever you get your podcasts to ensure you never miss an episode.

Thank you for listening to the Medical Advantage Podcast, where each we take time each episode to discuss the ideas and technologies changing healthcare, and the best practices your organization can take to stay productive and profitable. Subscribe wherever you get your podcasts to ensure you never miss an episode.



Hosted on Acast. See acast.com/privacy for more information.

  continue reading

50 episodes

Artwork
iconShare
 
Manage episode 288871486 series 2860835
Content provided by Medical Advantage. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Medical Advantage 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://player.fm/legal.

Ascent's Automated RCM Solution

Revenue Cycle Management, or RCM, is one area where medical organizations are increasingly turning to software solutions that optimize and automate RCM workflows. At the forefront of this software development is Ascent Healthcare, creators of a revolutionary new program that uses pattern recognition and #machinelearning to automatically and intelligently optimize RCM and claims reimbursement processes, and increase revenue and ROI for clients large and small.

Medical Advantage – a partner with Ascent Healthcare assisting with making their software more available to organizations nationwide – recently sat down with Bill Stone, Executive Vice President of Ascent, to learn more about how this new software is changing the game for healthcare organizations by reducing administrative burden, optimizing and automating RCM workflows, and increasing ROI.

This is the seventh episode in the Medical Advantage Podcast, where each we take time each episode to discuss the ideas and technologies changing healthcare, and the best practices your organization can take to stay productive and profitable. Subscribe wherever you get your podcasts to ensure you never miss an episode.

Thank you for listening to the Medical Advantage Podcast, where each we take time each episode to discuss the ideas and technologies changing healthcare, and the best practices your organization can take to stay productive and profitable. Subscribe wherever you get your podcasts to ensure you never miss an episode.



Hosted on Acast. See acast.com/privacy for more information.

  continue reading

50 episodes

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