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Combining Cutting-Edge Technology and Deep Clinical Knowledge to Simplify Complexity in Healthcare Administration

By Hudson Schertz, Senior Marketing Manager

July 18, 2022

In this podcast hosted by Becker's Healthcare, Melisa Tucker, Nym's Senior Vice President and Head of Product, is joined by Amy Faith Ho, MD, MPH, a practicing emergency physician, board-certified in emergency medicine (ABEM) and clinical informatics (ABPM) for a conversation on merging cutting-edge technology with deep clinical knowledge. They discuss how AI, natural language processing, and machine learning can be used to reduce administrative complexity and streamline revenue cycle operations. They also cover new technological approaches, including their benefits, current gaps, and new areas of opportunity for solutions that reduce administrative complexity in healthcare settings.

 

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Photo of Hudson Schertz, Senior Marketing Manager

Hudson Schertz, Senior Marketing Manager

Hudson Schertz is the Senior Marketing Manager at Nym, where he leads content strategy, demand generation, and brand positioning for the company’s autonomous medical coding platform. With a strong background in healthcare AI, Hudson has authored thought leadership pieces on everything from top healthcare automation trends to guides on addressing revenue cycle staffing shortages with autonomous medical coding. He is passionate about exploring the intersection of technology and healthcare, particularly in the application of natural language processing and large language models to improve revenue cycle management.

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