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所在平台: Udemy |
课程主页: https://www.udemy.com/course/six-sigma-internal-quality-control-in-clinical-laboratory/
课程评论：没有评论
**课程名称：** 临床实验室六西格玛内部质量控制 **课程概述：** 本课程是市面上独一无二的，专注于将六西格玛方法论在临床实验室内部质量控制中进行实际应用。课程将深入讲解六西格玛的核心概念，以及DMAIC和DMDAV等不同的六西格玛方法论，并详细阐述它们之间的异同以及如何根据实际情况进行选择。 课程内容还将涵盖： * **Sigma Scale (西格玛尺度)** 和**Sigma Matrix (西格玛矩阵)** 的计算，以及六西格玛在临床实验室中的重要性。 * **Operator Specification Chart (操作员指标图)** 和**Normalized Operator Specification Chart (归一化操作员指标图)** 的详细介绍，包括单项检测参数的归一化操作员指标图绘制方法，以及多项检测参数的归一化操作员指标图绘制方法。 * **Power function curve (幂函数曲线)** 的相关知识。 通过本课程，学员将能够学习到如何利用归一化操作员指标图和幂函数曲线进行统计质量控制，并深入理解**Probability of error detection (误差检测概率)** 和**Probability of rejection (拒收概率)**。此外，课程还将解释如何利用幂函数曲线和归一化操作员指标图来确定**Frequency of QC runs (质控运行频率)** 和**number QCs to be run (需要运行的质控次数)**。 最后，课程将介绍**Westgard Sigma Rules (韦斯特加德西格玛规则)** 在统计质量控制中的应用，以及如何利用Sigma Matrix来确定**measurement uncertainty (测量不确定度)**。 **课程目标：** 使学员能够掌握将六西格玛方法论应用于临床实验室内部质量控制的各项技术和策略，提高实验室的质量管理水平和检测结果的准确性。
The course is a unique course, which is exclusively for practical application of six sigma methodology in clinical laboratory for internal quality control. This is a first of its kind of course. This course contain details of six sigma, different methodologies that are used for six sigma such as DMAIC and DMDAV, what is the similarities and differences between these two methodologies, how to choose between these two methodologies. The course also has details of Sigma Scale, calculation of six sigma Matrix, importance of six sigma in clinical laboratory. The details of operator Specification Chart as well as normalized operator Specification Chart, how to plot operator Specification Chart for single test parameter as well as normalized operator specification chart for multiple test parameters. The course also contains details of power function curve. Here in this course students will also be able to learn use of Normalized operator Specification Chart and Power function curve for statistical quality control, probability of error detection, probability of rejection is also explained in detail. Frequency of QC runs and number QCs to be run is explained with the help of using power function curve as well as normalized OPSpec chart. The course also contains use of westgard Sigma Rules for statistical quality control. Finally it also contains details of use of Sigma Matrix for determining measurement uncertainty.
