质量保证
质量(理念)
控制(管理)
质量控制
业务
质量审核
计算机科学
外部质量评估
运营管理
会计
工程类
物理
审计
量子力学
人工智能
标识
DOI:10.1016/j.clinbiochem.2021.05.003
摘要
• How to select QC rules and frequency based on σ metric. • The requirements of EQA. • How EQA and QC can be integrated. • Processes to deal with failed QC or EQA. • What future laboratory activities will become EQA programs. Effective management of clinical laboratories relies upon an understanding of Quality Control and External Quality Assurance principles. These processes, when applied effectively, reduce patient risk and drive quality improvement. In this Review, we will describe the purpose of QC and EQA and their role in identifying analytical and process error. The two concepts are linked, and we will illustrate that linkage. Some EQA providers offer far more than analytical surveillance. They facilitate training and education and extend quality improvement and identify areas where there is potential for patient harm into the pre-and post-analytical phases of the total testing process.
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