相关实验视频
Updated: Jan 17, 2026

14:49
Conducting Respiratory Oscillometry in an Outpatient Setting
Published on: April 8, 2022
8.3K
基于患者的数据监测是否允许我们重新考虑IQC和EQA之间的关系?
Tony Badrick1, John Sioufi1, Derek Holzhauser1
1Royal College of Pathologists of Australasia Quality Assurance Programs, St Leonards, NSW, Australia.
Clinical chemistry and laboratory medicine
|September 23, 2025
概括
外部质量评估 (EQA) 的频率应优先考虑患者的风险降低. 基于患者的质量保证 (PBQA) 提供了持续的监测,但需要进一步开发以进行全面的实验室绩效评估.
科学领域:
- 临床化学 临床化学
- 实验室医学 实验室医学
- 质量保证 质量保证 质量保证
背景情况:
- 目前的外部质量评估 (EQA) 挑战频率缺乏标准化的方法,依赖于历史实践和当地需求.
- 内部质量控制 (IQC) 传统上使用合成材料来确保日常一致性并检测分析失败.
- 基于患者的IQC和EQA方法使得使用患者数据的分析系统能够持续监控.
研究的目的:
- 建议在EQA频率确定中转向识别和减轻患者风险.
- 探索基于患者的质量保证 (PBQA) 和基于患者的参考测试质量控制 (PBRTQC) 在实验室监测中的潜力.
- 根据新兴的基于患者的方法重新评估IQC和EQA之间的关系.
主要方法:
- 对EQA挑战频率确定当前实践的审查.
- 讨论基于患者的IQC和EQA的原则和潜力.
- 分析PBQA的局限性,特别是在测试协调和标准化方面.
主要成果:
- 基于患者的方法可以提供持续的监测和额外的信息,以减少患者的风险.
- 虽然PBQA对日常同行组比较和偏见识别有好处,但在监测试验协调方面存在局限性.
- 将PBRTQC和PBQA与可切换的,参照值分配的EQA程序一起实施,可以加强对测试标准化的监测.
结论:
- EQA的频率应基于风险,重点是患者安全,而不是历史规范.
- 基于患者的质量保证方法为日常实验室监测和偏差检测提供了显著的优势.
- 为了全面的质量管理和测试标准化,需要一种混合方法,将基于患者的方法与强大的EQA计划相结合.
相关概念视频
Detection of Gross Error: The Q Test
6.9K
When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
6.9K
Quality Assurance
958
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...
958
Quality Control
1.2K
Quality control is one of the three cyclical quality assurance activities that help keep a system under statistical control. Typical quality control activities include creating quality control charts, conducting proficiency testing, and documenting and archiving results.
Quality control helps track data, visualize trends, and identify variations, making it easier to detect deviations that may affect the accuracy of an analysis. One way to do this is by generating a quality control chart, which...
Quality control helps track data, visualize trends, and identify variations, making it easier to detect deviations that may affect the accuracy of an analysis. One way to do this is by generating a quality control chart, which...
1.2K
Bioequivalence Data: Statistical Interpretation
194
Body:The statistical interpretation of bioequivalence data is a significant aspect of pharmaceutical research. Bioequivalence refers to the absence of any significant difference in the rate and extent to which the active ingredient in pharmaceutical products becomes available at the site of drug action when administered at the same molar dose under similar conditions. This helps determine if different drug products have similar absorption rates, ensuring their interchangeability.Statistical...
194
Quartile
8.9K
Quartiles are numbers that separate the data into quarters. Quartiles may or may not be part of the data. To find the quartiles, first, find the median or second quartile. The first quartile, Q1, is the middle value of the lower half of the data, and the third quartile, Q3, is the middle value, or median, of the upper half of the data. To get the idea, consider the same data set:
1; 1; 2; 2; 4; 6; 6.8; 7.2; 8; 8.3; 9; 10; 10; 11.5
The median or second quartile is seven. The lower half of the...
1; 1; 2; 2; 4; 6; 6.8; 7.2; 8; 8.3; 9; 10; 10; 11.5
The median or second quartile is seven. The lower half of the...
8.9K
Methods of Documentation III: PIE
2.0K
Problem-intervention-evaluation (PIE) is a systematic approach to documentation used in healthcare settings for clinical decision-making and patient care planning. It is a structured approach to organizing patient data based on problems, interventions, and evaluations. Here's a breakdown of its key features and considerations:
2.0K

