Receive our How Radiology Practices Can Systematically Identify Underpayments White Paper
Underpayments are one of the most persistent, and least visible, forms of revenue leakage in radiology. Unlike denials, underpayments rarely trigger alerts. Claims are adjudicated. Payments post. Accounts close. And yet reimbursement falls short of contracted expectations.
For high-volume radiology practices, even small discrepancies compound quickly across modalities and locations. What appears to be routine payer variability often represents measurable, recoverable revenue.
The challenge is not simply identifying isolated errors. It is building a systematic, scalable approach that turns underpayment detection and recovery into a repeatable operational discipline.
This guide outlines:
- The difference between automated and manual detection
- How to scale recovery across modalities and facilities
- A framework for creating a repeatable underpayment recovery engine
- The measurable financial impact over 12–24 months
