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Reviewer Consensus Mode

Two reviewers, one file, every divergence visible. BETA

Route the same file to two or three evaluators and see exactly where their reads diverge, useful for high-value or disputed files.

Adams, T. · Case #IME-4812 2 reviewers
Diagnosis, right kneeAgree
Causation link to injury eventDiverges
Impairment rating rangeDiverges
Treatment necessityAgree
Disagreement surfaced, not averaged · a lead reviewer resolves
IN ACTIVE BETA · refined with early customers
Where two reads of the same file agree, nothing changes. Where they don't, that's exactly what gets surfaced.

The same file, read independently by each reviewer.

Each evaluator works the file without seeing the other's read, so the comparison reflects two independent clinical opinions rather than one reviewer anchored to the other's draft.

Reviewers work independently, no cross-visibility
Comparison reflects two genuine reads
Independent reads2 of 2 complete
Reviewer ASubmitted
Reviewer BSubmitted
Divergence view2 of 4 diverge
Causation linkReviewer A vs. B
Impairment rating rangeReviewer A vs. B

Divergence shown side by side, item by item.

Diagnosis, causation, impairment range, and treatment necessity are compared point by point, with clear flags on exactly where the two reads line up and where they don't.

Every point of disagreement flagged individually
Points of agreement shown too, not just conflicts

Built for the files where it matters most.

High-value claims and disputed files are exactly where a second independent read is worth the cost. Consensus mode makes that comparison practical to run routinely, not just as an exception.

Practical to run on high-value or disputed files
A lead reviewer resolves, the tool doesn't
Routing ruleHigh-value files
Claim value above thresholdRouted to 2 reviewers
Disputed file flagRouted to 3 reviewers
Consensus checkCase #IME-4812
Reviewer A read Submitted
Reviewer B read Submitted
Divergence points 2 flagged
Resolution Lead reviewer decides
The boundary

Disagreement surfaced, never smoothed over.

Reviewer Consensus Mode surfaces exactly where two or three independent reads of the same file diverge. It does not average the readings together and does not auto-resolve the disagreement into a single answer.

A lead reviewer, or the client commissioning the exam, resolves the divergence. The tool's job is to make the disagreement visible and specific, not to decide which reviewer was right.

From one file to a clear comparison.

Three steps, resolution stays with a person.

1. File routed to multiple evaluators

The same case is sent to two or three evaluators, each working the file independently.

2. Independent reads collected

Each evaluator's diagnosis, causation view, rating, and treatment opinion are captured on their own.

3. Divergence report generated

Points of agreement and disagreement are compared side by side for a lead reviewer or the client to resolve.

Built for the files worth a second opinion.

A practical way to run multi-reviewer checks routinely.

FAQ

Frequently asked questions.

It routes the same file to two or three evaluators and shows exactly where their independent reads diverge, useful for high-value or disputed files.

No. It surfaces disagreement point by point; it does not average or auto-resolve it. A lead reviewer or the client resolves any divergence.

Yes, in beta. Reviewer Consensus Mode is live and testable now; we're refining it hands-on with early customers, and if your use case is a good fit we'll work with you directly.

No. Each evaluator works the file independently, and reads are only compared after both are submitted, so the comparison reflects two genuine opinions.

Two or three, depending on how the file is flagged, typically based on claim value or dispute status.

Related to Reviewer Consensus Mode.

See where two reads agree, and where they don't.

Join the beta and route a file to two reviewers of your own, or book a demo to see a divergence report built live. Handled under our BAA; never used to train a model.