The Performance And Reliability Of Different Laboratory Instruments And Equipment
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Abstract
Healthcare budgets globally under ongoing pressure to decrease expenditures while enhancing efficiency and quality. This effect is also seen in clinical laboratory. Efficiency may be enhanced by decreasing the mistake rate and optimizing the structure and logistics of the laboratory. Performance indicators (PIs) are essential in this process since they enable the evaluation of performance. This study facilitates the selection of laboratory Principal Investigators (PIs), which is a non-trivial task, by offering an overview of often cited PIs in scientific literature that are also applicable to clinical labs. We performed a comprehensive analysis of the scientific literature in the field of laboratory medicine about PIs. Given that the testing procedure in clinical labs may be seen as the manufacturing procedure, we additionally reviewed the literature on manufacturing procedures for PIs. The literature review pertains to the design, optimization, or evaluation of the performance of these procedures. The most often mentioned performance indicators (PIs) are to mistakes that occur before analysis, the speed at which tasks are completed, the efficient use of resources, the cost of operations, and the level of congestion. Their frequency of citation in the literature is used as a surrogate measure of their significance. The discussion of PIs revolves on their definition, measurability, and effect. Appropriate use of relevant Process Indicators (PIs) is of utmost importance in many manufacturing processes, including those carried out in clinical labs. Furthermore, by examining the literature on manufacturing processes, we discovered new pertinent performance indicators (PIs) for clinical labs. The primary focus of PIs in the laboratory science literature is on laboratory mistakes, but in the production processes literature, PIs primarily measure the level of congestion in the process.