Episode 3(Season 2) of Meduit's award-winning podcast series - The Latest and Greatest in AI for Revenue Cycle Management - is now live.

Episode 2 (Season 2) of Meduit's award-winning podcast series - Recovering More Value from Medicare Bad Debt - is now live.

Meduit has launched Season 2 of our award-winning podcast series with Episode 1 - Self-service vs. Full-service Patient Engagement Tools.

In case you missed Meduit’s third podcast of our three-part series, Employing Predictive Analytics to Work Smarter Revenue Cycle Management, you can now download the transcript for easy reference here… and you can still listen to it below.

In this podcast, Jason covers how providers can utilize advanced predictive analytics to:

In case you missed Meduit’s second podcast How Web Bots Solve Healthcare RCM Problems, you can now download the transcript for easy reference here… and you can still listen to it below.

In this podcast, Jason Petrasich, Senior Vice President of AI for Meduit, takes you through game-changing tools that are designed to work hand-in-hand with staff to maximize results across the board. By aligning the right tasks with AI and RPA technologies, providers can generate cash faster, increase efficiencies and lower cost.

 

In case you missed Meduit's premiere podcast Artificial Intelligence Will Save the Revenue Cycle, you can now download the transcript for easy reference here... you can still listen to it below.

In the first podcast of our three-part series, Jason Petrasich, Senior Vice President of AI for Meduit, takes you through best practices of utilizing AI solutions to positively impact the revenue cycle and overcome the financial challenges of today's healthcare environment. Jason covers:

Ready to resolve more accounts and drive revenue? Meduit's podcast series unveils critically important information regarding the healthcare revenue cycle, including utilizing the role of artificial intelligence (AI) to maximize cash.

COVID-19 has had an unprecedented impact on every aspect of healthcare, including the revenue cycle. It has also inadvertently set the stage for solutions that leverage artificial intelligence (AI) and robotic process automation (RPA) to save the revenue cycle.