Ten Considerations for Automation and Machine Learning for Revenue Cycle Operations

Charting a path towards end-to-end automation for entire functions to drive giant leaps in efficiency

Join the Discussion

Automation for healthcare revenue cycle operations has moved from being a nice to have to being a business imperative. Automation, artificial intelligence and machine learning offer the clearest path to improved operational efficiency and cost savings.
Until now available automation solutions have either been designed for other industries and adapted to healthcare or have been designed to address a limited scope within revenue cycle operations.

This session will outline considerations for strategically evaluating and adopting automation for healthcare revenue cycle operations.

In this session, attendees will learn:

  • Learn industry trends for adoption of automation
  • Traditional and new technologies built for healthcare revenue cycle
  • How to define and measure a successful revenue cycle automation deployment
  • Keys to evaluating solution providers


Live Webinar

May 12, 2020
12:00 PM


Grant Messick

Managing Director, Customer Success

Grant Messick has spent his career in revenue cycle working with over 60 health systems across the country. Prior to joining AKASA as Managing Director of Customer Success he was Principal at The Chartis Group. Prior to that, he was a Partner at The Advisory Board and a Revenue Cycle Executive at Cerner. Grant started as a Pediatric Practice Manager.