AI in RCM - Navigating the Slop to Find Real Returns

  • 18 Nov 2026
  • 3:00 PM - 5:00 PM
  • North Kansas City Hospital - North Oak Conference Room
  • 75

Registration

  • Members Only:
    Manager, Business Partners, Students
  • Nonmembers of GKC MGMA:
  • No Cost: Only for Speakers, Life Members, etc.

Register

   
North Kansas City Hospital - North Oak Conference Room

Wednesday, November 18, 2026    
Time:  Registration 3:00 -networking, food/drink, speaker. End by 5:00pm  


  

Speaker:  Matt DenHartog


AI in RCM - Navigating the Slop to Find Real Returns

Everyday, healthcare leaders are inundated with new AI technologies that claim to automate

parts of the healthcare ecosystem. There is a lot of real promise in what these companies are

proposing, but it is a saturated market that has very little clarity on what technologies can

perform to stay ahead of patient expectations, margin pressures, payers, labor shortages and

“competing” providers.

The goal of this session will be to help frame the AI opportunity in RCM that helps attendees

drive faster and more meaningful returns on AI investments.

● Why RCM is ripe for AI, and why it isn’t

● Deciding where to use AI next

● Evaluating vendors and partners - new and current

Matt hopes that attendees will leave more confident and excited for how RCM AI technologies

will benefit staff, patients, the bottom line, and leaders.


Bio

Matt has been in healthcare almost his entire career. He spent almost 18 years in the medical

device industry calling on providers, hospitals and health systems before moving into the

healthcare software industry focused on communications and RCM. He currently serves as the

Strategic Account Director for Collectly and lives in the Des Moines area.

Matt first started to understand the impact of RCM challenges and complexities when working

alongside schedulers and billers to create access to new, life changing medical treatments. It’s

that experience that gives him a passion for solving inefficiencies, poor revenue performance,

and confusing patient experiences.