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所在平台: Udemy |
课程主页: https://www.udemy.com/course/external-quality-assessment-in-clinical-laboratory/
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**课程总结：临床实验室外部质量评估** 本课程深入探讨了临床实验室外部质量评估（EQA）的各个方面，旨在帮助参与者有效管理实验室，确保分析结果的可靠性。 课程涵盖了EQA的定义、优势、基本原则和不同类型。 **核心内容包括：** * **EQA的重要性：** 强调了参与EQA对于符合ISO 15189:2012等国际标准的重要性，以及其在确保检测结果准确性和可靠性方面的关键作用。 * **EQA方案的选择与管理：** 探讨了如何选择符合国际标准和指南的EQA方案，并介绍了在缺乏商业化EQA方案时的替代方法。 * **EQA报告的分析与解读：** 教授了如何分析EQA报告提供的信息，并利用基本统计学知识解读结果。 * **质量改进与问题解决：** 重点讲解了如何基于EQA数据识别改进措施，以及如何处理EQA异常结果（如不满意分数）等问题。 * **全员参与：** 强调了实验室全体员工在EQA数据分析和质量改进过程中的作用。 本课程将为您提供识别和评估EQA方案的专业知识，以及利用EQA数据推动实验室整体质量改进的能力。
The series on external quality assessment we will see what is external quality assessment, advantages, principles and types of external quality assessment. Effective management of clinical laboratories participating in external quality assessment schemes (EQAS) is of fundamental importance in ensuring reliable analytical results. The International Standard ISO 15189:2012 requires participation in interlaboratory comparison [e.g. external quality assessment (EQA)] for all tests provided by an individual laboratory. If EQAS is not commercially available, alternative approaches should be identified, although clinical laboratories may find it challenging to choose the EQAS that comply with the international standards and approved guidelines. Great competence is therefore required, as well as knowledge of the characteristics and key elements affecting the reliability of an EQAS, and the analytical quality specifications stated in approved documents. Another skill of fundamental importance is the ability to identify an alternative approach when the available EQAS are inadequate or missing. Yet the choice of the right EQA program alone does not guarantee its effectiveness. In fact, the fundamental steps of analysis of the information provided in EQA reports and the ability to identify improvement actions to be undertaken call for the involvement of all laboratory staff playing a role in the specific activity. In this course I have also included the basic statistics use for interpretation of EQA reports. Review of EQA data and use of this data for overall quality improvement purpose. In this course, I have also discussed the troubleshooting of EQA outlier such as handling the unsatisfactory score in EQA sample
