Sample deliverable

What a RemakeRx Diagnostic can look like.

This preview uses fictional, illustrative data only. It is designed to show the structure of the analysis—not to represent results from any real dental laboratory.

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Illustrative data. All companies, case counts, percentages, and findings shown below are fictional examples.
90-Day Remake Intelligence Report

Example Dental Laboratory

Illustrative review period · May–July 2026

94.8%first-pass baseline

Executive snapshot

The objective is not to explain every remake. It is to identify the few recurring combinations that deserve management attention first.

Total cases4,800
Remakes reviewed247
Top 3 clusters51%

Priority findings

Signals are framed as investigation priorities. Correlation is not presented as proof of causality.

FINDING 01

Posterior zirconia + occlusion/clearance

This combination appears more frequently in the remake population than its share of overall case volume. Recommended next step: review intake, design, and QC checkpoints for this combination.

FINDING 02

Account group D concentration

A small account group contributes a disproportionate share of rework. Recommended next step: compare prescription completeness, scan quality, and repeated reason categories before drawing a cause conclusion.

FINDING 03

Reason normalization opportunity

Several free-text remake reasons appear to describe the same underlying issue. Normalizing those labels could improve trend visibility and recurrence measurement.

30-day corrective-action Rx

PriorityActionMeasureDecision rule
1Review posterior zirconia intake/QC checklistRepeat remake frequencyCompare next 30 days vs. baseline
2Audit account group D prescriptions and scansIncomplete-input signalsEscalate if pattern persists
3Normalize top 10 remake reason labelsReason coverageTarget ≥90% classified

What happens next

After the lab chooses which actions to implement, RemakeRx can compare recurrence against the baseline. This is the learning loop: pattern → intervention → measured outcome.

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