Revenue Integrity: Proven Use Cases of AI and RPA
Each stage of the mid-cycle represents an opportunity for additional leakage of accurate and appropriate documentation, resulting in inaccurate coding of conditions being monitored and treated during a patient’s encounter. And despite massive investments in documentation and coding solutions for the mid-cycle, earned revenue loss continues to persist -- in 2019 (pre-COVID), Medicare and Medicaid underpayments reached $75.8 billion.1
Join us on Wednesday, April 21, at 1 p.m. ET to see how mid-cycle leakage does not have to be an insurmountable challenge. Financial leaders are turning to increasingly sophisticated and automated artificial intelligence (AI) solutions to overcome leakage.
Learning Objectives:
During this webinar, hear from revenue cycle leaders and learn:
- The four distinct phases where mid-cycle leakage occurs
- The levels of AI supporting health systems: machine learning, robotic process automation, natural language processing, computer vision
- AI solutions to address leakage today
1 2019 AHA Fact Sheet: Underpayment by Medicare and Medicaid January 2021