Analysis quality control, often abbreviated in AQC, refers to all those processes and processes designed to ensure that the results of laboratory analysis are consistent, comparable, accurate and within certain limits of accuracy. The components submitted to the analysis laboratory must be accurately described to avoid misinterpretations, assumptions, or incorrect results. Quality data and quantity produced in the laboratory may be used for decision making. In the chemical sense, quantitative analysis refers to the quantitative or concentration of an element or chemical compound in a matrix that differs in element or compound. Fields such as industry, pharmaceuticals, and law enforcement can use AQC. The first important factor in setting up the internal quality control (IQC) of a clinical laboratory evaluation process is to select the appropriate IQC procedure to be used, i.e. to select the mathematical method or control rules, and the number of control measures, depending on quality. required for methodological evaluation and performance. Then the appropriate IQC process should be used correctly. This review focuses on strategies for planning and implementing IQC processes to improve IQC quality. The plural editing process is defined which can be used with image tools such as dynamic work or critical graphs and performance specification charts. Finally, a comprehensive QC strategy is developed to reduce costs and increase quality. The standard IQC implementation strategy is recommended to use a three-phase design where the first phase provides high error detection, the second phase low false rejection and the third phase defines the duration of the analytical implementation, using an algorithm that integrates data from normal patient data.
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