确保医疗实验室的内部质量控制实践:IFCC对基于ISO 15189:2022的实际应用的建议
Jean-Marc Giannoli1, Anne Vassault2, Anna Carobene3
1Cerballiance Laboratory, CerbaHealthCare, AURA, Lyon, France.
概括
本指南详细介绍了符合ISO 15189:2022的内部质量控制 (IQC) 策略的实施和监测. 它为医疗实验室提供实用工具,通过基于风险的方法提高诊断可靠性和患者安全.
科学领域:
- 医学实验室科学 医学实验室科学
- 质量管理系统 质量管理系统
- 诊断的准确性 诊断的准确性
背景情况:
- 医疗实验室需要强大的内部质量控制 (IQC) 战略进行认证.
- ISO 15189:2022为实验室质量和能力提供了最新的标准.
- 有效的IQC对于确保可靠的诊断结果和患者安全至关重要.
研究的目的:
- 为实施和监测符合ISO 15189:2022的IQC战略提供指导.
- 为实验室专业人员提供实用,用户友好的资源.
- 通过基于风险的IQC方法来提高诊断可靠性.
主要方法:
- 遵循ISO 15189:2022标准的结构和内容.
- 对量化结果的IQC流程应用基于风险的方法.
- 讨论特定的IQC方面:材料选择,控制频率,限制,统计规则,可比性,不符合性,质量指标和不确定性.
主要成果:
- 详细讨论选择IQC材料和定义控制参数.
- 应用统计规则和处理偏离可接受限值的策略.
- 将IQC纳入认证流程,重点关注风险识别和降低风险.
结论:
- 实施全面的IQC战略对于符合ISO 15189:2022标准至关重要.
- 基于风险的方法提高了医疗实验室IQC的有效性.
- 在IQC中积极的风险管理直接有助于提高患者安全.
更多相关视频
08:08qPCR Is a Sensitive and Rapid Method for Detection of Cytomegaloviral DNA in Formalin-fixed, Paraffin-embedded Biopsy Tissue
Published on: July 9, 2014
15.7K
09:07Author Spotlight: Accelerating Diagnostic Accuracy with Direct Identification of Gram-Negatives from Blood Culture Bottles
Published on: May 24, 2024
751
相关概念视频
Quality Assurance
110
Quality assurance is the overarching term used to describe the activities employed to ensure the proper performance of a system. These activities can be classified into three categories: quality control, quality assessment, and internal corrective measures. Typically, these activities work cyclically: quality control is performed before and during the analysis, while quality assessment occurs during and after the investigation. Internal corrective measures are implemented based on the findings...
110
Data Validation
137
Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
Key parameters for method validation include:
Key parameters for method validation include:
137
Contaminants and Errors
81
Effective sample preparation is crucial for accurate and reliable laboratory analysis. During this process, two significant sources of error can arise: concentration bias from improper sample splitting and contamination caused by methods used to reduce particle size, such as grinding or homogenization. Identifying and minimizing these potential errors is crucial to ensuring the validity of the analysis.
Another key consideration is determining the appropriate number of samples required to...
Another key consideration is determining the appropriate number of samples required to...
81
