How it works

From raw case to defensible consensus

The entire mechanism, step by step — the same pipeline behind every DataLaps product. No black box: you can download the exact delivery format below.

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01

Cases come in, de-identified

Your cases — images, clinical notes, model outputs, transcriptions — enter the pipeline stripped of PII. We scope the clinical question with you before any physician sees a case.

02

Verified physicians are assigned

Reviewers are licensed MDs whose credentials passed multi-stage screening (document review, identity checks, human verification). Where the task calls for it, profiles are matched to the specialty.

03

Each one answers blind

Multiple physicians review the same case independently. Nobody sees anyone else's verdict — no anchoring, no groupthink. Each verdict carries its own reasoning.

04

Verdicts become a consensus

Independent verdicts are reconciled statistically into a consensus label. Agreement is measured per item — not assumed. Chance-corrected agreement, not raw match rates.

05

Disagreement is adjudicated, not hidden

When physicians disagree, the case is flagged and escalated for adjudication. The final dataset records that it happened — disagreement is information, not noise to average away.

06

You receive an audit-ready dataset

Delivery includes every independent verdict, the consensus label, the agreement level and the adjudication flag, per row — the evidence trail a regulator or clinical advisor will ask about.

The deliverable

Open the exact format we deliver

This is a synthetic, PII-free sample — no real patients, no real physicians. The structure is the real thing.

case_idStable identifier for each case
md1_verdict · md2_verdict · md3_verdictEach physician's independent, blind verdict
consensus_labelThe reconciled verdict — not a blind average
agreement_pctHow strongly the panel agreed on this item
confidenceDelivery confidence derived from agreement
adjudicatedWhether disagreement was escalated and resolved
Download the sample CSV

Or get it in your inbox with the format walkthrough:

Why blind matters

Independence is the whole point

Single annotators can't be defended

When a regulator asks "how do you know this label is correct?", one opinion — however expert — has no error bar. Independent replication does.

Discussion contaminates judgment

Panels that deliberate converge on the most confident voice, not the most correct one. Blind review keeps every verdict independent by construction.

Agreement becomes a metric

Because verdicts are independent, inter-rater agreement is statistically meaningful — a number you can put in a regulatory file.

See it run on your cases

Send a sample sprint through the pipeline — you keep the data and the results.

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