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Related Concept Videos

Uncertainty: Overview00:59

Uncertainty: Overview

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In analytical chemistry, we often perform repetitive measurements to detect and minimize inaccuracies caused by both determinate and indeterminate errors. Despite the cares we take, the presence of random errors means that repeated measurements almost never have exactly the same magnitude. The collective difference between these measurements - observed values - and the estimated or expected value is called uncertainty. Uncertainty is conventionally written after the estimated or expected value.
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Uncertainty: Confidence Intervals00:54

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The confidence interval is the range of values around the mean that contains the true mean. It is expressed as a probability percentage. The interpretation of a 95% confidence interval, for instance, is that the statistician is 95% confident that the true mean falls within the interval. The upper and lower limits of this range are known as confidence limits. The confidence limits for the true mean are estimated from the sample's mean, the standard deviation, and the statistical factor...
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Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

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An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
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Propagation of Uncertainty from Systematic Error01:10

Propagation of Uncertainty from Systematic Error

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The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
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Uncertainty in Measurement: Accuracy and Precision03:37

Uncertainty in Measurement: Accuracy and Precision

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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. 
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Uncertainty in Measurement: Reading Instruments02:46

Uncertainty in Measurement: Reading Instruments

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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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[Tolerating uncertainty: Towards a competence-based approach].

N Belhomme1, A Lescoat1, Y Launey2

  • 1Service de médecine interne et immunologie clinique, CHU de Rennes, université Rennes 1, Rennes, France; Inserm, EHESP, Irset (Institut de Recherche en Santé, Environnement et Travail) - UMR_S 1085, Rennes, France.

La Revue De Medecine Interne
|November 12, 2022
PubMed
Summary
This summary is machine-generated.

Medical professionals need better ways to handle uncertainty, a challenge amplified by the COVID-19 pandemic. This study explores uncertainty tolerance in medical education to improve physician coping strategies.

Keywords:
Approche par compétenceClinical reasoningCompetency-based Medical EducationIncertitudeMedical EducationPédagogie MédicaleRaisonnement cliniqueTolerance of uncertaintyTolérance à l’incertitudeUncertainty

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Area of Science:

  • Medical Education
  • Healthcare Practice
  • Epistemology

Context:

  • Inherent uncertainty in medical practice requires deeper exploration.
  • The COVID-19 pandemic highlighted the urgent need to enhance physicians' coping mechanisms for uncertainty.
  • Interdisciplinary insights from sociology, philosophy, and mathematics can illuminate the roots of healthcare uncertainty.

Purpose:

  • To discuss the uncertainty tolerance framework proposed by Hillen et al.
  • To explore educational strategies for teaching uncertainty tolerance within a competence-based medical education framework.
  • To identify effective educational activities for improving uncertainty tolerance among medical practitioners.

Summary:

  • This paper examines the concept of uncertainty tolerance as a framework for medical education.
  • It reviews Hillen et al.'s uncertainty tolerance model and proposes educational approaches to cultivate this skill.
  • The study discusses practical activities to enhance physicians' ability to manage uncertainty in clinical practice.

Impact:

  • Provides a framework for medical educators to address uncertainty in training.
  • Offers practical strategies to improve physicians' confidence and competence in managing ambiguous situations.
  • Contributes to a more resilient healthcare system by enhancing practitioners' adaptability to uncertainty.