PreciMind QC-IS
Quality Control Intelligence System — a multi-layer deterministic decision-support system that transforms QC data into structured decisions, error classifications, and clinically relevant risk assessments.
Core Lab Tools provide rapid calculations and can be extended into full Clinical Intelligence Systems.
Input & Computation
System Positioning
QC-IS is a multi-layer laboratory quality intelligence system that transforms QC data into actionable decisions and clinically relevant insights.
Layer 1 — Data Input
Configure analyte, method, and analytical parameters for the intelligence pipeline.
Long-term between-run CV — min. 20 IQC points over ≥20 days (CLSI EP5-A3).
From EQA peer group or certified reference material. Negative = underestimation.
Total Allowable Error. CLIA = regulatory minimum. Biol. Variation = clinical optimum.
Interpretation Guide
Sigma Formula
σ = (TEa − |Bias|) ÷ CV
QC-IS Decision Thresholds
- ≥ 6σ → Accept · Severity: Minimal
- 4–6σ → Accept with monitoring · Severity: Moderate
- 3–4σ → Investigate · Severity: Moderate
- < 3σ → Reject run · Severity: Critical
Evidence & References
Westgard JO, Barry PL & Hunt MR (1981)
A multi-rule Shewhart chart for quality control in clinical chemistry. Clinical Chemistry 27(3):493–501.
Westgard JO (2016)
Six Sigma Quality Design and Control. 3rd ed. Westgard QC, Madison, WI.
CLSI EP23-A (2011)
Laboratory Quality Control Based on Risk Management.
CLSI EP5-A3 (2014)
Evaluation of Precision of Quantitative Measurement Procedures.
ISO 15189:2022 §7.3.6
Medical laboratories — Requirements for quality and competence.
Parvin CA (2008)
Assessing the impact of the frequency of QC testing on the quality of results. Clinical Chemistry 54(12):2049–2054.
QC-IS operates as a 6-layer deterministic pipeline: Data Input → Analytical Engine → Rule Engine → Interpretation Engine → Decision Engine → Clinical Risk Engine. Each layer produces structured outputs. Decision logic is rule-based, reproducible, and publication-transparent.
PM Lab Suite
Clinical Laboratory Intelligence Platform
When to Use
- IQC strategy design and rule selection for any quantitative method
- Method validation after reagent/calibrator lot changes
- ISO 15189, NABL, CLIA, JCI, CAP accreditation preparation
- Risk assessment for methods near clinical decision thresholds
- QC incident investigation and root cause analysis support
- Teaching QC intelligence principles in laboratory medicine education
Common Pitfalls
- Using within-run CV instead of long-term between-run CV (min. 20 IQC points, ≥20 days)
- Applying CLIA TEa limits as clinical targets — they are regulatory minimums only
- Ignoring bias in sigma calculation — even 1–2% bias significantly reduces sigma
- Treating sigma as a stable property — it changes with reagent lot, calibration, and instrument state