PreciMind Biological Variation Intelligence System (PM-BVIS)
Foundational intelligence for biological variation analysis — EFLM/Fraser performance goals, Index of Individuality, RCV, test utility classification, sigma integration, and CVa sensitivity analysis.
PM-BVIS implements the complete EFLM/Fraser biological variation framework: three-tier performance goals (optimal, desirable, minimum) for imprecision, bias, and total error; Index of Individuality with reference interval suitability; RCV computation; monitoring and screening utility classification; sigma-metric integration; and multi-scenario CVa sensitivity analysis. Built-in database of 47+ analytes with curated EFLM 2024 values.
Analyte
Biological Variation Inputs
CVi and CVg are required. Use the EFLM preset selector or enter custom values.
Within-subject biological variation
Between-subject biological variation
Required for sigma & performance
Required for absolute RCV
Analysis Settings
Index of Individuality Guide
Performance Goal Tiers
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.