Healthcare underpayment detection

Find claims paid below the contract

Lumivera connects encoded payer terms to claims and payment context, helping provider teams identify silent contract variance and preserve the evidence needed for follow-up.

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Direct answer

What is healthcare underpayment detection?

Healthcare underpayment detection identifies claims that were paid below the amount required by the applicable payer contract. It connects the signed rate, carve-outs, exceptions, effective dates, claim context, and actual payment so revenue teams can distinguish a contract variance from a denial, coding issue, or unrelated billing problem.

Lumivera converts payer terms into deterministic logic and checks payment behavior against those rules, creating a traceable path from detection to follow-up.

Illustrative claim review

Claim 004218 · CPT 99214

Evidence ready
Applicable contractPayer A · 2026
Expected payment$182.40
Payment received$156.00
Contract variance+$26.40

Traceable basis

Contract rate · effective date · claim context · payment record

Example only

Move from retrospective sampling to contract-based surveillance

Manual audits can find known patterns after revenue has already leaked. Lumivera keeps the applicable payer terms connected to payment behavior so teams can review variance with its contract context intact.

 TodayWith Lumivera
Detection triggerPeriodic audit, payer dispute, or visible denial trendPayment evaluated against applicable contract logic
Contract basisFee schedule, analyst memory, or disconnected PDFEncoded rates, carve-outs, exceptions, and dates
Review scopeSampled claims and known problem areasContinuous surveillance across connected claim activity
ClassificationPayment difference requires manual reconstructionVariance presented with contract and claim context
EvidenceAssembled across documents and systemsTraceable basis preserved with the flagged item
Workflow fitSeparate recovery project or spreadsheet queueIntelligence layer around existing revenue workflows

From silent variance to reviewable evidence

Detect the gap. Investigate the cause. Defend the contract.

01

Detect

Surface payment that does not match the encoded terms.

Evaluate the received payment against the contract rule, effective date, carve-outs, exceptions, and relevant claim context.

02

Investigate

Understand why the variance was flagged.

Bring the contract, policy, claim, and payment evidence together so a reviewer can distinguish an underpayment from another issue.

03

Defend

Carry a traceable basis into follow-up.

Keep the applicable economics and supporting context attached to the item your team chooses to pursue.

Contract-based evidence

A variance is only useful when your team can explain it

Lumivera does not treat every payment difference as recoverable revenue. The system connects the applicable contract rule to the payment context and preserves the basis for human review.

01

Resolve the contract rule

Identify the rate, carve-out, exception, and effective date that apply to the claim being evaluated.

02

Read the payment context

Connect the adjudicated payment and relevant claim details without replacing the systems that already hold the data.

03

Calculate the variance

Compare expected payment under the encoded agreement with the payment received and classify the difference.

04

Preserve the evidence

Keep the contract, policy, claim, and payment context together so a reviewer can understand why the item was flagged.

Continuous contract surveillance without another dashboard burden

Connect the signed economics to payment, focus attention on explainable variance, and keep provider teams in control of the next action.

Encode payer economics

Turn rates, carve-outs, exceptions, and effective dates into deterministic rules.

Compare expected and received payment

Evaluate adjudicated payment against the contract logic that applies to the claim.

Classify the variance

Preserve enough context to determine whether the signal reflects contract variance or another issue.

Keep evidence traceable

Retain the contract, claim, payment, and policy basis behind each flagged item.

Watch payer changes

Connect time-sensitive payer policy context to the economics your team is monitoring.

Fit existing workflows

Add contract intelligence through a zero-copy architecture instead of replacing core RCM systems.

No rip-and-replace revenue cycle project

Lumivera reads claims data in place through a zero-copy architecture and adds the contract logic needed to evaluate payment in context.

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Common questions

Healthcare underpayment detection, explained

What is a healthcare underpayment?

A healthcare underpayment occurs when a payer reimburses a provider less than the amount required by the applicable contract and claim context. The difference must be evaluated against the actual agreement, not only a generic fee schedule or expected-allowable table.

How is an underpayment different from a denial?

A denial rejects or reduces payment based on a coverage, authorization, coding, policy, or other adjudication reason. An underpayment is a payment that does not match the contracted economics. A single claim can require both policy and contract context to classify correctly.

How does Lumivera detect contract underpayments?

Lumivera converts payer rates, carve-outs, exceptions, and effective dates into deterministic rules, then evaluates payment behavior against the applicable logic and retains the supporting claim and contract context.

Does every flagged variance represent recoverable revenue?

No. A variance is a review signal, not an automatic promise of recovery. Lumivera preserves the evidence needed to determine whether the difference reflects a contract underpayment, a valid adjudication rule, missing context, or another issue.

Does underpayment detection require replacing our RCM systems?

No rip-and-replace project is required. Lumivera uses a zero-copy architecture to read claims data in place and adds contract intelligence and surveillance around existing workflows.

Who uses healthcare underpayment detection?

The workflow is relevant to revenue-integrity and revenue-cycle teams, managed care leaders, contract analysts, and finance teams responsible for protecting provider reimbursement and operating margin.

Connect underpayment detection to the full payer lifecycle

Build the market evidence, encode the signed terms, and keep the economics connected to payment.

Benchmark payer reimbursement before the next negotiation

Rate benchmarking

Turn payer agreements into deterministic, enforceable logic

Contract intelligence

Give Revenue Cycle AI persistent business context and decision history

Revenue Cycle Teams

See what silent contract variance looks like

Bring a payer agreement and the claims context around it. We'll show you how Lumivera connects the signed terms to payment review.

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