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Nibedita Sarma, Subhosmito Chakraborty
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引用次数: 0

摘要

在实验室里,质量保证是最重要的。在大多数情况下,临床医生对治疗方式的决定是基于实验室结果。因此,为确保报告结果的准确性,有必要按标准准则进行定期评估和审核。六西格玛就是这样一种工具,应用于日常实践中,用于监测和提高实验室的绩效。一台新机器对实验室来说是一个新的挑战,从验证到报告质量结果,保证六西格玛是必要的方法。因此,本研究旨在检查20种不同分析物的6西格玛月度状态和临床化学分析仪的性能。这是一项回顾性研究,研究所需的数据于2020年3月至2020年11月在西孟加拉邦加尔各答塔塔医疗中心临床生物化学实验室收集。试验参数在Vitros 7600自动分析仪上进行分析。收集的数据为iqc变异系数百分比(CV %)和熟练度测试偏差%。采用适用的标准公式分析每月的六西格玛评分。我们在两个IQC水平的测试参数CK、尿素、肌酐、尿酸、白蛋白、钙、磷、镁、AST、ALTV、ALKP、GGT、脂肪酶、LDH和2级IQC的钠和淀粉酶的测试参数中获得了优异的性能(bbb6 sigma)。然而,我们注意到在IQC水平的葡萄糖、钾、氯、TP测试参数和在IQC水平2的钠和淀粉酶测试参数表现不佳(<3 sigma)。分析QGI评分,找出根本原因并采取纠正措施。用六西格玛方法监控IQC和EQAS有助于评估和改进实验室的性能,即使是使用新机器。它支持根本原因分析和必要的纠正和预防措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effectiveness of six sigma score analysis of clinical biochemistry parameters in a newly installed automated analyser– Retrospective analysis in a tertiary cancer care centre
Quality assurance is need of the hour in a laboratory. Clinician’s decision regarding treatment modality is based on the laboratory results on most occasions. So to ensure accuracy of results reported periodic evaluation as per standard criteria and audit is necessary. Six sigma is one such tool to apply in day to day practice for monitoring and enhancing performance of a laboratory. A new machine is a new challenge for a laboratory from validation to reporting of quality result with assurance for which six sigma is invariably a necessary method. So this study was taken up to check for month wise status of six sigma and performance of clinical chemistry analyser for 20 different analytes.: It was a retrospective study and data required for the study were collected from March 2020 to November 2020 in clinical biochemistry laboratory of Tata Medical Centre Kolkata, West Bengal. Test parameters were analysed on Vitros 7600 automated analyser. Data collected were IQC-coefficient of variation percent (CV %) and proficiency test -Bias%. Six sigma score were analysed monthly using standard formula applicable. We obtained an excellent performance (> 6 sigma) for test parameters CK, Urea, Creatinine, Uric acid, albumin, Calcium, Phosphorus, Magnesium, AST, ALTV, ALKP, GGT, Lipase, LDH in both level of IQC and for sodium and amylase in level 2 IQC. However we noticed poor performance (<3 sigma) for test parameters Glucose, potassium, chloride, TP in both level IQC and for sodium and amylase in level 2 IQC.QGI score analysed to find out root cause and corrective action. Monitoring IQC and EQAS with six sigma method helps evaluation and improvement of performance of a laboratory even with a new machine. It supports root cause analysis and necessary corrective and preventive action.
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