Quality assurance is the overarching term used to describe the activities employed to ensure the proper performance of a system. These activities can be classified into three categories: quality control, quality assessment, and internal corrective measures. Typically, these activities work cyclically: quality control is performed before and during the analysis, while quality assessment occurs during and after the investigation. Internal corrective measures are implemented based on the findings from post-analysis quality assessment or before the start of a new analysis.
The quality assurance process begins with drafting clear and concise use objectives for the analysis and concludes with specifications for the expected results. This exhaustive process includes sampling, blank tests, calibration checks, quality control checks, accuracy, precision, detection limit, selectivity, sensitivity, robustness, and the rate of false results. Finally, the quality assurance process entails reviewing whether the results meet the specifications and use objectives of the analysis.
Quality assurance is the collective term for the series of activities implemented to ensure the proper performance of a method.
Quality assurance comprises three types of cyclical activities: quality control, quality assessment, and internal corrective measures.
While quality control is performed before and during the analysis, quality assessment is performed during and after. The outcome of the quality assessment decides whether an analysis modification is required. These internal corrections are done after or before the analysis.
The quality assurance processes begin with making clear and concise use objectives for which the analysis result will be used.
The second process is drafting the analysis specifications and expected results. This includes details on sampling, blank tests, calibration checks, quality control checks, accuracy, precision, detection limit, selectivity, sensitivity, robustness, and the rate of false results.
The final process involves assessing whether the results meet the specifications and use objectives.
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