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After upload, every denial lands in the Denials inbox with an AI-extracted classification, deadline, and strategy recommendation. Your job is to review, adjust, and approve — not re-enter the data.

The inbox view

The inbox shows one row per detected denial with these columns:
ColumnWhat it means
PatientFrom the EOB or claim. PHI columns are masked in list views (e.g. J***n D***).
Claim IDAs extracted from the document.
PayerMatched to your payer list.
Denied amountFrom the claim.
Denial typeClassified into one of 10 categories (see below).
DeadlineDays until the appeal deadline. Red if < 7 days.
ConfidenceAI confidence in the classification.
StatusNew, Reviewing, Appealed, Outcome.

Denial types

TypeExamples
medical_necessity”Service not medically necessary”, “experimental/investigational”
prior_authorization”No prior auth on file”, “auth denied”
coding_error”Invalid CPT/HCPCS”, “bundling edit”, “unbundling”
timely_filing”Claim submitted after filing deadline”
out_of_network”Provider out of network”
coverage_exclusion”Service not a covered benefit”
coordination_of_benefits”COB information needed”
patient_responsibility”Applied to deductible”, “patient responsibility”
duplicate”Duplicate claim”
otherAnything we couldn’t confidently bucket

Confidence score

ScoreWhat we do
≥ 85%Auto-route to your inbox as “Ready for review”.
70–84%Flagged “Check — medium confidence”. The AI is reasonably sure, but you’ll see an extra warning.
< 70%Routed to Human-in-the-loop review (see below). Not surfaced to your inbox until reviewed.

Human-in-the-loop review

Denials below 70% confidence — or where the AI detects conflicting signals — are automatically queued for review by a trained Denialbase reviewer.
1

Triage

The reviewer reads the document, confirms or corrects the classification, and adjusts the deadline if needed.
2

Notes

The reviewer adds any context (e.g. “payer used an unusual CARC code; reclassifying as prior-auth based on attached letter”).
3

Release

The denial is released to your inbox with a “Reviewed” badge and the reviewer’s notes attached.
Typical HITL turnaround is under 1 hour during business hours.

Adjusting a classification

You can override the AI on any denial:
  • Click the Type dropdown on the detail view to reclassify.
  • Edit the Deadline if the AI picked it up incorrectly.
  • Add Clinical notes that won’t change the appeal draft but will be visible to reviewers and to the AI on re-run.
Every override is captured and fed back into our training process — this is how the classifier gets better for your practice over time.

Bulk actions

Assign

Select multiple denials → Assign to → pick a teammate. Assignees get an email and in-app notification.

Prioritize

Mark as Urgent, Normal, or Low. Urgent denials are pinned to the top of everyone’s inbox.

Snooze

Hide until a specific date. Denials unhide automatically a week before the appeal deadline.

Archive

Archive if you’ve decided not to appeal. Archived denials are included in reporting but out of the main inbox.

Reading the strategy recommendation

For each denial, you’ll see a Strategy box with:
  • Recommended path: peer-to-peer, formal written appeal, external/IRO review, or “do not appeal” (e.g. duplicate, valid patient responsibility).
  • Citations: specific plan language, state regulations, or federal rules (ERISA, ACA) supporting the appeal.
  • Estimated overturn probability: based on historical outcomes for similar denials in your practice and the broader Denialbase dataset.
  • Prerequisites: e.g. “attach operative report and medical necessity letter before filing”.
The strategy is advisory. You’re always in control of what to appeal and how — the AI’s job is to show you the path with the evidence, not make the decision.