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Related Concept Videos

Accuracy and Precision01:52

Accuracy and Precision

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.  Highly accurate measurements...
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Measurement: Derived Units

The International System of Units or SI system, by international agreement, has fixed measurement units for seven fundamental properties: length, mass, time, temperature, electric current, amount of substance, and luminosity. These are called the SI base units.
Measurement: Standard Units03:38

Measurement: Standard Units

Every measurement provides three kinds of information: the size or magnitude of the measurement (a number), a standard of comparison for the measurement (a unit), and an indication of the uncertainty of the measurement. While the number and unit are explicitly represented when a quantity is written, the uncertainty is an aspect of the errors in the measurement results.
Measures of Intelligence01:29

Measures of Intelligence

Psychologists measure intelligence by using standardized tests that produce a score known as the intelligence quotient or IQ. To understand IQ tests, it's important to recognize the key principles behind their construction: validity, reliability, and standardization.
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Units of Measurement01:27

Units of Measurement

Mechanical engineering is one of the oldest branches of engineering. It deals with designing, analyzing, and manufacturing machines and mechanical systems. To ensure precise and accurate calculations, units of measurement are used. They provide a standard system for expressing and comparing physical quantities.
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Uncertainty in Measurement: Reading Instruments02:46

Uncertainty in Measurement: Reading Instruments

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...

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Making measures count.

Allon N Friedman1, Stephen Z Fadem

  • 1Division of Nephrology, Indiana University School of Medicine, Indianapolis, IN 46032, USA. allfried@iupui.edu

Clinical Journal of the American Society of Nephrology : CJASN
|May 21, 2011
PubMed
Summary
This summary is machine-generated.

Future quality measures should focus on patient outcomes like mortality and quality of life, moving beyond current lab data. This approach aims to improve patient care and physician satisfaction by individualizing assessments.

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Area of Science:

  • Health Services Research
  • Medical Informatics
  • Quality Improvement

Background:

  • Current quality measures rely heavily on laboratory data (e.g., serum albumin, hemoglobin, Kt/V).
  • There's a growing need to align performance metrics with fundamental patient outcomes.
  • Existing measures may not fully capture the quality of care or drive meaningful improvements.

Purpose of the Study:

  • To explore how to translate quantitative data into improved patient-centered care.
  • To identify pathways for developing future, more effective quality measures.
  • To distinguish exemplary care and support continuous improvement in healthcare systems.

Main Methods:

  • Discussion and synthesis of current practices in healthcare quality measurement.
  • Conceptual framework for developing patient-oriented quality indicators.
  • Analysis of the potential impact of individualized quantitative assessments.

Main Results:

  • Current metrics, while abundant, may not adequately reflect core patient outcomes.
  • A shift towards measures focusing on mortality, hospitalization, and quality of life is proposed.
  • Individualized quantitative assessments can foster patient-oriented care and optimize resource allocation.

Conclusions:

  • Future quality measures must evolve to prioritize fundamental patient outcomes.
  • Developing robust, patient-centered metrics is crucial for advancing healthcare quality.
  • A strategic approach to quality measurement can enhance patient lives, physician satisfaction, and resource efficiency.