Two questions are traditionally asked when designing a laboratory quality control strategy; how many QC specimens should be analyzed and what QC rules will provide the statistical power needed to detect critical out-of-control error conditions. However, the modern automated laboratory must answer a third question in order to design an effective quality control process; how frequently should QC testing be performed. Traditional QC design gives no guidance on when QC testing should occur. This talk proposes an approach to designing QC strategies that can objectively address the question of how frequently to schedule QC testing
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