PM Lab Suite·Beta·Level 5

PreciMind Biological Variation Intelligence System (PM-BVIS)

Foundational intelligence for biological variation analysis — Fraser/Petersen performance goals, Index of Individuality, RCV, test utility classification, sigma integration, and CVa sensitivity analysis. Preset BV values are pending verification against the EFLM Biological Variation Database.

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PM-BVIS implements the Fraser/Petersen biological variation framework: three-tier performance goals (optimal, desirable, minimum) for imprecision, bias, and total error; Index of Individuality (biological and analytical-aware) with reference interval suitability; RCV computation; monitoring and screening utility classification; sigma-metric integration; and multi-scenario CVa sensitivity analysis. Built-in database of 46 analytes with structured provenance — all preset values are marked pending verification against the EFLM Biological Variation Database.

Analyte

Analyte Name

Units

Biological Variation Inputs

CVi and CVg are required. Use the EFLM preset selector or enter custom values.

CVi (%) *

Within-subject biological variation

CVg (%) *

Between-subject biological variation

CVa (%) optional

Required for sigma & performance

Mean conc. optional

Required for absolute RCV

Analysis Settings

Confidence Level

Clinical Notes

Index of Individuality Guide

II < 0.6:High individuality — use personal reference

0.6 – 1.4:Moderate — both approaches partial utility

II ≥ 1.4:Low individuality — population RI suitable

Performance Goal Tiers

Optimal

Imprecision: 0.25 × CVi · Bias: 0.125 × √(CVi²+CVg²)

Desirable

Imprecision: 0.50 × CVi · Bias: 0.25 × √(CVi²+CVg²)

Minimum

Imprecision: 0.75 × CVi · Bias: 0.375 × √(CVi²+CVg²)

Below minimum

Exceeds minimum goals

Ready for analysis

Select an analyte from the EFLM database or enter custom CVi and CVg values, then run the PM-BVIS pipeline to receive performance goals, Index of Individuality, test utility classification, and analytical performance assessment.