Payer payments rarely reflect a simple outcome. Remittance data includes adjustment codes, reductions, and contractual signals that must be interpreted alongside the original claim and expected reimbursement.
Revenue transactions move across billing and finance systems, often losing the context that explains them.
As a result, discrepancies are identified late, during reconciliation or financial close, requiring manual investigation across systems.
Remittance interpretation and financial reconciliation operate as a single process, allowing discrepancies to be identified as payments are received and ensuring financial records reflect actual revenue outcomes.
Paypora evaluates remittance outcomes and financial postings together to ensure revenue remains accurate and traceable from claim outcome through general ledger reporting.
Payer Rule Intelligence
Pattern Recognition & Risk Alerts
Clean Claim Engine
Documentation & Coding Alignment
Eligibility & Benefits Sync
Underpayments are harder to catch than denials. A denied claim generates a clear notification. An underpayment arrives as a remittance that looks complete like the claim was paid, just not at the correct amount. Identifying the discrepancy requires comparing the payment received against the contracted rate for that specific service, under that specific payer agreement, for that specific patient category. Doing this manually across a high volume of remittances is time-consuming and inconsistent. Most finance teams catch some underpayments through spot checks or appeals, but systematic identification across the full payment volume is difficult without dedicated tooling.
Paypora reviews remittance data to identify patterns in how individual payers are paying. Whether contracted rates are being applied consistently, whether specific service types are being systematically underpaid, and whether payment timelines align with agreement terms. This gives finance teams a clear picture of payer reimbursement behaviour over time rather than a transaction-by-transaction view. Where a pattern of underpayment or inconsistency is identified, teams have the documentation they need to raise it with the payer directly.
Most reimbursement discrepancies are identified during financial close, when the pressure to reconcile quickly works against the thoroughness needed to catch every underpayment. Paypora moves this review earlier by checking remittance data against contracted rates as payments arrive rather than at the end of the cycle. Discrepancies are flagged in real time, giving finance teams the opportunity to act on them while the payment is still recent and the supporting documentation is readily available.
Paypora identifies discrepancies between what was billed, what was contracted, and what was paid. This includes underpayments where the reimbursement falls short of the contracted rate, incorrect adjustments applied by the payer, payments applied to the wrong claim or patient account, and contractual allowances that were calculated incorrectly. Each discrepancy is flagged with enough detail for the finance team to understand the nature of the gap and determine whether it warrants a follow-up with the payer before accounts are closed.
Financial close requires reconciling every payment received against what was expected, a process that is largely manual in most hospital finance teams. Paypora automates the comparison between remittance data and contracted rates, flagging discrepancies automatically rather than relying on staff to identify them through line-by-line review. Finance teams spend less time on reconciliation and more time resolving the exceptions that actually require human judgement. For multi-facility health systems, this reduction in manual effort compounds significantly across the full payment volume.