Using Data Science to Reduce Denials and Underpayments
(Room Veronese)
26 Jun 18
3:45 PM
-
4:45 PM
Tracks:
Revenue Cycle Process Improvement
This session will explore a case study from a large health system that turned data into a powerful asset for reducing denials and underpayments. You’ll learn how the system used data science to unify disparate processes and systems, ultimately creating an integrated approach to denial prevention and resolution. You’ll also examine how to connect multiple data sources, apply analytics and prediction models to target high-risk accounts, and use data to monitor, alert, and perform root cause analysis.