Quality Control Decision Formula:
Where:
QC: Quality control decision (dimensionless)
R1, R2, ...: Westgard rule criteria (context-specific)
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Definition: This calculator evaluates laboratory quality control data using Westgard rules to detect potential errors in analytical testing processes.
Purpose: It helps laboratory professionals determine if test results should be accepted or rejected based on statistical quality control criteria.
The calculator uses the formula:
Where:
Explanation: The calculator compares patient values to control data using statistical rules to identify potential analytical errors.
Details: Proper application of Westgard rules ensures test result reliability, detects systematic and random errors, and maintains laboratory quality standards.
Tips: Enter the control mean and standard deviation, patient test value, and select which Westgard rules to apply. The calculator will identify any rule violations.
Q1: What is the 12s rule?
A: This rule is violated when a single control measurement exceeds ±2 standard deviations from the mean.
Q2: What does the 13s rule indicate?
A: This rule detects gross errors when a control measurement exceeds ±3 standard deviations.
Q3: When should I use multiple rules?
A: Multi-rule procedures increase error detection while maintaining acceptable false rejection rates.
Q4: What is a Z-Score?
A: The Z-Score represents how many standard deviations a value is from the mean.
Q5: How do I set up control limits?
A: Control limits should be based on stable performance data collected over time.