Nebraska Methodist Health System continually strives to update and optimize their EHR patient accounting tool to achieve significant goals to reduce days to collect and streamline efficiency. With AKASA, Nebraska Methodist has created and managed machine learning, while keeping the human in the loop, to improve the cost to collect and better patient care. 

Learning Objectives:

• –Describe how machine learning can be used within revenue cycle processes to gain efficiencies 
• -Understand how machine learning and human knowledge can work together to reduce the cost to collect 
• -Learn more about how Nebraska Methodist Health System achieved significant improvements through partnership and collaboration 

Speakers:

Michaela Thomsen, Director of Patient Financial Services, Nebraska Methodist Health System

Jeff Francis, VP of Finance and CFO, Nebraska Methodist Health System