Monthly QC Interpretation Tool
Lab Test Academy
CV% Calculator
Quantify analytical imprecision from your QC measurements. CV% = (SD ÷ Mean) × 100
💡Enter your QC Mean and SD, or paste raw values. Results feed directly into the Six Sigma and Total Error calculators.
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Input Mode
Choose your data entry method
CV% = (SD ÷ Mean) × 100 CV% = Coefficient of Variation | SD = Standard Deviation | Mean = Average of QC values
Coefficient Of Variation
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CLIA Acceptable CV% — Common Analytes
AnalyteDesirable CV%Minimum CV%
Glucose< 2.5%< 5.0%
Sodium< 0.5%< 1.0%
Potassium< 2.2%< 4.4%
Creatinine< 2.2%< 4.3%
Total Protein< 1.7%< 3.4%
ALT< 11.5%< 22.9%
TSH< 12.5%< 24.9%
HbA1c< 1.7%< 3.4%
Haemoglobin< 1.6%< 3.2%
Standard Deviation Index (SDI)
Compare your lab's performance against the peer group. SDI = (Lab Mean − Peer Mean) ÷ Peer SD
💡SDI values close to 0 indicate excellent agreement with peers. |SDI| > 2 requires investigation.
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Inputs
Enter your lab and peer group data
SDI = (Lab Mean − Peer Mean) ÷ Peer SD |SDI| ≤ 1.0 = Excellent  |  |SDI| 1–2 = Monitor  |  |SDI| > 2 = Investigate
SDI Value
Bias% Calculator
Quantify systematic error vs. reference or EQA assigned value. Bias% = [(Lab − Target) ÷ Target] × 100
💡Bias% measures how far your results are from the true value. Values < ±2% are generally acceptable.
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Mode
Choose your comparison reference
Bias% = [(Lab Mean − Target) ÷ Target] × 100 Positive bias = Lab results higher than target  |  Negative = lower than target EQA mode also calculates Z-Score = (Lab − Assigned Value) ÷ EQA SD
Bias%
Six Sigma Calculator
Assess overall analytical method quality and determine optimal QC strategy. σ = (TEa − |Bias%|) ÷ CV%
💡Use the Tab 1 and Tab 3 link buttons to auto-fill CV% and Bias% from previous calculations.
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Inputs
Select analyte or enter values manually
σ = (TEa − |Bias%|) ÷ CV% TEa = Total Allowable Error  |  Bias% = systematic error  |  CV% = imprecision σ < 3 = Unacceptable  |  3–4 = Marginal  |  4–6 = Acceptable  |  ≥6 = World Class
Sigma Score
Total Error Calculator
Estimate total analytical error combining random and systematic components. TE = |Bias%| + Z × CV%
💡Both Bias% (Tab 3) and CV% (Tab 1) can be linked automatically using the arrow buttons.
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Inputs
Enter error components
TE = |Bias%| + Z × CV% Simple additive Total Error model (standard method) TEGUM = √(Bias² + (Z × CV)²)  — GUM expanded uncertainty model
TE Simple
TE GUM
vs TEa
Z-Score / EQA Peer Comparison
Evaluate your EQA performance against peers per ISO 13528. Z = (Lab Result − Assigned Value) ÷ EQA SD
💡|Z| ≤ 2.0 = Satisfactory  |  |Z| 2–3 = Borderline (investigate)  |  |Z| > 3 = Unsatisfactory (urgent action)
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Inputs
Enter your EQA round data
Z-Score = (Lab Result − Assigned Value) ÷ EQA SD Bias% = [(Lab − Assigned) ÷ Assigned] × 100 Classification per ISO 13528: |Z| ≤ 2.0 = Satisfactory
Z-Score
Monthly QC Summary Report
Generate a complete monthly QC performance report from all calculations above.
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Laboratory Details
Complete all fields for the report
Calculation History
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