Revenue Leakage Detection Agent

The work it takes off your plate

Health systems lose substantial net revenue when contractual underpayments, missed charges, and payer-specific rate variances go undetected across high-volume remittances. Manual variance review cannot keep pace with thousands of claim lines, complex fee schedules, and frequent contract amendments. Analysts spend weeks reconciling EOBs against expected reimbursement, delaying recovery and write-off decisions. The Revenue Leakage Detection Agent continuously compares expected versus actual payment by payer, DRG/APC, and service line so leakage is surfaced early and prioritized for recovery.

How it works

The Revenue Leakage Detection Agent ingests remittance advice, contract rate tables, charge masters, and claim history, then models expected allowable amounts at the claim-line level. Using rule engines and pattern detection, it flags underpayments, undercharges, and systematic variances by payer and service line. Worklists are ranked by recoverable dollars and confidence so revenue integrity teams can pursue high-value cases first and feed outcomes back into contract modeling.

1. Step 1: Ingest Payments and Contract Baselines

   • Pull remittance advice (835), claim headers, and charge detail for the review window
   • Load active payer contracts, fee schedules, and expected allowable rules
   • Normalize service lines, CPT/HCPCS, revenue codes, and DRG/APC groupings

   Result: A unified payment-versus-expectation dataset is ready for variance analysis.

2. Step 2: Calculate Expected Reimbursement

   • Apply contract logic and fee schedules to each paid claim line
   • Account for modifiers, carve-outs, stop-loss, and bundled payment rules
   • Compute expected allowable, patient responsibility, and net expected payment

   Result: Each claim line has a trusted expected reimbursement baseline.

3. Step 3: Detect Leakage and Rank Opportunities

   • Compare actual remittance to expected amounts and classify underpayment types
   • Identify undercharges by reconciling charges to clinical documentation and CDM
   • Score opportunities by recoverable dollars, pattern frequency, and confidence

   Result: Prioritized leakage findings are ready for revenue integrity action.

4. Step 4: Route Recovery Actions and Learn

   • Create recovery work items for underpayments, undercharges, and contract disputes
   • Package evidence packets for payer appeals and internal charge correction
   • Capture recovery outcomes to refine variance rules and contract models

   Result: Recoverable revenue is actioned systematically with continuous model improvement.

Why use it

• Protects net revenue by catching underpayments and undercharges before write-off windows close. Surfaces contract variance patterns that inform renegotiation and rate modeling. Prioritizes recovery work by dollar impact so analysts focus on the highest-yield cases. Integrates remittance, claims, and contract data into one continuous revenue integrity loop.