PreciMind Analytical Performance Intelligence System
PM-APIS · Multi-framework TEa resolution · Sigma · QC decision
Analytical Parameters
Enter method performance data. TEa is resolved automatically from the analyte database.
Between-run long-term imprecision. CLSI EP5-A3.
From EQA peer group or CRM. Signed percentage.
About PM-APIS
PM-APIS resolves TEa ambiguity by computing sigma across multiple frameworks simultaneously — CLIA (regulatory), and EFLM Biological Variation (minimum, desirable, optimal).
This answers: "Which TEa should I use?" and "How does TEa choice affect my analytical performance conclusion?"
PM-APIS Ready
Select an analyte and enter CV and Bias to run the multi-framework analytical performance intelligence pipeline.
Multi-framework TEa
CLIA + 3 BV tiers
Sigma comparison
Best vs worst case
Decision intelligence
Action + risk level
QC strategy
Auto-generated rules
Clinical Evidence & References
Westgard JO (2016)
Six Sigma Quality Design and Control. 3rd ed. Westgard QC, Madison, WI.
Aarsand AK et al. (2021)
The EuBIVAS biological variation database. Clinical Chemistry 67(6):849–862.
Fraser CG (2001)
Biological Variation: From Principles to Practice. AACC Press, Washington DC.
CLIA 42 CFR §493.931 (2024)
US federal proficiency testing allowable error criteria for clinical laboratory analytes.
CLSI EP23-A (2011)
Laboratory Quality Control Based on Risk Management. Provides risk-based QC design framework.
ISO 15189:2022
Medical laboratories — Requirements for quality and competence. Section 7.3.6: IQC strategy.