Charge-capture leakage and coding anomalies translate to millions of dollars in lost revenue for hospitals. And even when organizations know there are opportunities hiding in their financial data, the challenge of finding the most meaningful opportunities is analogous to finding the needles in haystacks—if the needles had been carefully disguised as strands of hay.
These massive, massive data sets cannot be effectively analyzed using traditional rules-based technologies. To uncover the millions of dollars in opportunity hidden in the them, hospitals and health systems need predictive analytics and other advanced technologies designed to automatically learn their unique charging practices—and that continually identify outliers and anomalies that need to brought to the attention of the right person at the right time. The truth is, there was a time when simple, binary analysis was sufficient—but in today’s complex reimbursement environment, instances and root causes of revenue leakage are more nuanced and are “better hidden.”
Join us to learn how your organization can:
- Increase revenue from missed charges
- Drive higher reimbursement by coding variances
- Mitigate risk from overcharging errors
- Identify audit concerns before they become problematic