revenue-leakage-detection

Revenue leakage in the healthcare revenue cycle is identified by analyzing encounter, charge, payment, CDM, and denial data to pinpoint missed charges, under-coding, and unbilled services. This process systematically quantifies lost revenue from process failures.

Charge capture optimization detects services rendered but not billed by comparing documented clinical encounters against submitted charges. It identifies unbilled services to recover lost revenue and ensure accurate financial performance reporting.

A revenue integrity audit systematically reviews financial data to flag missed charges, under-coding, and inappropriate adjustments. It analyzes write-offs and denials to pinpoint exact sources of revenue leakage.

Denial management analysis quantifies lost hospital revenue by identifying unworked denials and excessive adjustments. Analyzing operational and payment data reveals the financial impact of these process failures.

The best way to detect coding under-capture is by analyzing encounter and charge data to identify services coded below their documented level. This coding analysis highlights specific documentation gaps causing revenue leakage.

You can analyze CDM data alongside charge and payment records to identify charge capture gaps and pricing inconsistencies. This isolates unbilled services and process failures to optimize financial performance.