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相关概念视频

Quality Assurance01:19

Quality Assurance

4.0K
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...
4.0K
Quality Control01:05

Quality Control

4.3K
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...
4.3K
Errors occurring during blood pressure monitoring01:25

Errors occurring during blood pressure monitoring

1.6K
Blood pressure monitoring is a crucial clinical procedure in diagnosing and managing various cardiovascular conditions. Despite its significance, the accuracy of blood pressure measurements can be compromised by multiple factors, potentially leading to either falsely high or low readings. These inaccuracies are critical as they can significantly impact patient care. So, it is vital to understand these challenges deeply and adopt strategic approaches to minimize errors.
Several factors...
1.6K
Testing a Claim about Standard Deviation01:19

Testing a Claim about Standard Deviation

2.1K
A complete procedure to test a claim about population standard deviation or population variance is explained here.
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...
2.1K
Uncertainty in Measurement: Reading Instruments02:46

Uncertainty in Measurement: Reading Instruments

37.7K
Counting is the type of measurement that is free from uncertainty, provided the number of objects being counted does not change during the process. Such measurements result in exact numbers. By counting the eggs in a carton, for instance, one can determine exactly how many eggs are there in the carton. Similarly, the numbers of defined quantities are also exact. For example, 1 foot is exactly 12 inches, 1 inch is exactly 2.54 centimeters, and 1 gram is exactly 0.001 kilograms. Quantities...
37.7K
Uncertainty in Measurement: Accuracy and Precision03:37

Uncertainty in Measurement: Accuracy and Precision

94.0K
Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value. 
94.0K

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相关实验视频

Updated: May 6, 2026

Conducting Respiratory Oscillometry in an Outpatient Setting
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Conducting Respiratory Oscillometry in an Outpatient Setting

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对质量测量的需求日益增加.

Robert J Panzer1, Richard S Gitomer, William H Greene

  • 1Department of Medicine, General Medicine Division, University of Rochester Medical Center, Rochester, New York2Department of Public Health Sciences, Division of Healthcare Management, University of Rochester Medical Center, Rochester, New York.

JAMA
|November 14, 2013
PubMed
概括

改善医疗保健质量测量对于基于价值的改革至关重要. 关键的挑战包括分散的系统和依赖有缺陷的数据,需要专注于全面的变革性措施.

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Selected Reaction Monitoring Mass Spectrometry for Absolute Protein Quantification
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Selected Reaction Monitoring Mass Spectrometry for Absolute Protein Quantification

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Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
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Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

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相关实验视频

Last Updated: May 6, 2026

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14:49

Conducting Respiratory Oscillometry in an Outpatient Setting

Published on: April 8, 2022

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Selected Reaction Monitoring Mass Spectrometry for Absolute Protein Quantification

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Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
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科学领域:

  • 医疗保健服务研究 医疗服务研究
  • 改善医疗保健质量 改善医疗保健质量
  • 患者安全 患者安全

背景情况:

  • 由于美国以价值为重点的卫生系统改革,医疗保健质量和患者安全测量正在发展.
  • 国家质量论坛指导开发和选择用于评估护理的质量指标.

研究的目的:

  • 识别当前医疗保健质量测量系统中的挑战.
  • 提出改善美国质量测量系统的建议.

主要方法:

  • 分析现有的质量测量系统及其局限性.
  • 审查国家质量战略和公私伙伴关系.

主要成果:

  • 挑战包括多样化的测量目的,依赖有缺陷的索赔数据,系统碎片化和众多测量的资源压力.
  • 措施的扩散给临床医生,医院和保险公司带来了后勤问题.

结论:

  • 建议包括提高质量措施的标准,以推动转型变革.
  • 促进协调,全面的测量系统,减少基于索赔的措施,并过渡到电子健康记录措施是必不可少的.