Evidence before explanation
Facts are established from the transaction record first. Explanation, including optional AI explanation, comes after.
About
About DenialIntel
DenialIntel applies structured business-process, financial-control, data-analysis and technology thinking to healthcare denial management.
Why DenialIntel was developed
Denials are often reported as totals by reason code. Totals show the scale of the problem, but they say little about why a particular denial happened, whether it can be acted on, or which upstream process keeps producing it.
The transaction records that could answer those questions — claims, remittances, enrollment, eligibility and authorization — are frequently examined separately, if at all.
DenialIntel was developed around a simple principle: denial management should connect transaction evidence, financial impact and operational action. It connects the transaction record, establishes the facts reproducibly, and turns them into prioritized, evidence-backed work for revenue-cycle teams and clear information for management.
Its design combines structured-data processing, deterministic analysis, exception and root-cause investigation, management reporting and carefully bounded AI assistance.
Principles
Reproducible results
Core calculations, matching and classification are deterministic. The same data produces the same results.
Connected records
A denial is examined alongside the related claim, eligibility, authorization and enrollment records, where available.
Action over reporting
Analysis should lead to prioritized work and to the identification of upstream improvement opportunities, not only to reports.
Human judgement
DenialIntel supports people. It does not replace professional or payer-policy review, and it does not make clinical decisions.
Honest scope
We describe what the product demonstrably does, and we are clear about what it does not claim.
See the approach in practice.
Explore the synthetic-data demonstration, or start a conversation about a pilot.
Synthetic demonstration data only. Do not enter PHI or other sensitive personal information.