回报最大化:通过六西格玛应用优化生物化学实验室性能,在印度实验室进行为期一年的成本效益研究。

Q2 Medicine
Mohini Rathore, Dharamveer Yadav, Mithu Banerjee, Sojit Tomo, Shailja Sharma, Shrimanjunath Sankanagoudar, Kamla Kant Shukla, Maithili Karpaga Selvi, Purvi Purohit, Praveen Sharma, Snigdha Singh, Amandeep Birdi, Raghavendra Singh Shekhawat
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引用次数: 0

摘要

简介:临床实验室整体质量管理体系中最重要的组成部分之一是质量控制(QC)验证。我们通常倾向于使用比必要更多的试剂和资源,以保持质量。用更少的资源获得更高的结果是时间的当务之急。我们试图通过使用六西格玛方法实施有效的质量控制程序及其经济效益,提供成本效益分析来解决这个问题。材料和方法:使用偏差%和cv%对23项常规化学参数进行为期一年的六西格玛计算。使用Biorad Unity 2.0软件应用New Westgard sigma规则。比较新sigma规则应用前后的错误拒绝率、错误检出率概率、所有重做成本、重复次数等。计算并比较了每年的相对和绝对节省。结果:与现行规则相比,采用候选规则后,将内部失效成本和外部失效成本合并后,绝对节省印度卢比(INR) 750105.27。费用的减少取决于每天检查的样品数量和执行的QC操作数量,导致内部失效成本降低50%(501808.08印度卢比),外部失效成本降低47%(187102.8印度卢比)。结论:该研究强调了临床实验室的质量控制技术需要如何仔细规划,以便通过降低内部或外部失效成本以及有效的预防和评估成本计划活动来实现显著的成本降低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Maximizing Returns: Optimizing Biochemistry Lab Performance through Six Sigma application, a Yearlong Cost-Benefit Study in an Indian Laboratory.

Introduction: One of the most essential components of a clinical laboratory's overall quality management system is quality control (QC) validation. We typically tend to use more reagents and resources than necessary in an attempt to preserve quality. Achieving higher results while using fewer resources is time imperative. We have attempted to address this issue by providing cost-benefit analysis by implementing effective QC procedures using six sigma methodology and their financial benefits.

Material and methods: Six sigma calculation of 23 routine chemistry parameters was performed over a period of one-year using bias% and cv%. New Westgard sigma rules were applied using Biorad Unity 2.0 software. A comparison was made before and after new sigma rules application including false rejection rate, probability of error detection rate, cost of all reruns, repeats, etc. Relative and absolute annual savings were computed and compared.

Results: Compared to the current rule, there was absolute savings of Indian Rupees (INR) 750105.27 when both internal failure and external failure costs were combined after the candidate rule was employed. The reduction in expenses varied with the quantity of samples examined and the quantity of QC operations carried out each day leading to an internal failure costs cut down by 50% (INR 501808.08) and external failure costs by 47% (INR 187102.8).

Conclusion: The study highlighted how quality control techniques in clinical laboratories need to be carefully planned in order to achieve significant cost reductions by lowering internal or external failure costs and effective prevention and appraisal cost planning activities prior.

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CiteScore
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