Abstract
The laboratory medicine is aimed to support clinical decisions and patient health by providing accurate results. The internal statistical quality control (SQC) can help laboratories detecting the instability of the analytical system and preventing laboratories from reporting the patient results with medically important errors, so it is essential to ensure the quality of testing results and patient safety. The traditional methods of designing SQC strategy are based on the probability of error detection (Ped) and the probability of false rejection (Pfr). With the introduction of risk management concepts, the design of SQC strategy began to be based on the patient risk parameter [MaxE(Nuf)] proposed by Parvin, which means the maximum increase in the number of unacceptable patient results reported compared to the in-control condition during the existence of an undetected out-of control error condition. MaxE(Nuf) is related to the SQC frequency and patient risk, which is very essential for optimizing the SQC frequency and designing a risk-based SQC strategy. Key words: Quality control; Risk management; Diagnostic tests, routine; Total quality management
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