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Related Concept Videos

Quality Control01:05

Quality Control

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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...
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Quality Assurance01:19

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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...
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Production Efficiency01:01

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Net production efficiency (NPE) is the efficiency at which organisms assimilate energy into biomass for the next trophic level. Due to low metabolic rates and less energy spent on thermoregulatory processes, the NPE of ectotherms (cold-blooded animals) is 10 times higher than endotherms (warm-blooded animals).
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Quality of Water01:19

Quality of Water

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In concrete preparation, the quality of water is paramount as it affects the strength and durability of the concrete. Potable water is usually preferred; however, it must not have excessive sodium or potassium to prevent compromising the concrete's integrity. Water quality is typically evaluated based on impurities such as dissolved solids, chlorides, and sulfates, and its pH value is ideally between 6 and 8. Even slightly acidic natural water may be acceptable unless it contains harmful...
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Detection of Gross Error: The Q Test01:00

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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...
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Standard Deviation01:10

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The most commonly used measure of variation is the standard deviation. It is a numerical value measuring how far data values are from their mean. The standard deviation value is small when the data are concentrated close to the mean, exhibiting slight variation or spread. The standard deviation value is never negative, it is either positive or zero. The standard deviation is larger when the data values are more spread out from the mean, which means the data values are exhibiting more...
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Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care
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The quality frontier.

Mark D Hurwitz1, Adam P Dicker

  • 1Jefferson Medical College of Thomas Jefferson University, Kimmel Cancer Center, Department of Radiation Oncology, Bodine Center, Suite G-301, 111 S 11th Street, Philadelphia, PA 19107, USA.

Future Oncology (London, England)
|April 24, 2014
PubMed
Summary
This summary is machine-generated.

Improving medical quality, especially in oncology, is crucial. Several factors like personalized medicine and informatics are helping oncology advance towards its quality frontier.

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Area of Science:

  • Oncology
  • Healthcare Quality Improvement
  • Medical Practice Management

Background:

  • Quality in medicine, particularly oncology, is receiving increased attention, addressing a long-standing need.
  • Current medical practice in oncology has not yet reached its full potential 'quality frontier'.
  • The Institute of Medicine highlighted the importance of quality over a decade ago.

Purpose of the Study:

  • To review the diverse forces driving oncology practice towards its quality frontier.
  • To examine the implications of these forces for future quality advancements in oncology.

Main Methods:

  • Analysis of inter-related forces impacting oncology quality.
  • Review of initial progress related to culture, transparency, personalized medicine, economics, and informatics.
  • Discussion of the implications for future quality improvements.

Main Results:

  • Diverse forces including culture, transparency, personalized medicine, economics, and informatics are actively influencing oncology.
  • These forces are collectively moving oncology practice closer to its theoretical quality frontier.
  • Initial progress has been observed across these domains, indicating a positive trajectory.

Conclusions:

  • Oncology is progressively advancing towards higher quality standards, driven by multifaceted factors.
  • Continued focus on these forces is essential for realizing future quality gains in cancer care.
  • The integration of personalized medicine and informatics holds significant promise for enhancing oncology quality.