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Uncertainty: Overview00:59

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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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The Uncertainty Principle04:08

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Werner Heisenberg considered the limits of how accurately one can measure properties of an electron or other microscopic particles. He determined that there is a fundamental limit to how accurately one can measure both a particle’s position and its momentum simultaneously. The more accurate the measurement of the momentum of a particle is known, the less accurate the position at that time is known and vice versa. This is what is now called the Heisenberg uncertainty principle. He...
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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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Uncertainty in Measurement: Accuracy and Precision03:37

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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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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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Related Experiment Video

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"With Great Responsibility Comes Great Uncertainty".

Nicolas Belhomme1,2,3, Alain Lescoat4,5, Yoann Launey6

  • 1Service de Médecine Interne et Immunologie Clinique, CHU Rennes, Université Rennes, Rennes, France. nicolas.belhomme@chu-rennes.fr.

Journal of General Internal Medicine
|July 31, 2024
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Summary
This summary is machine-generated.

Medical residents experience significant uncertainty in treatment, ethics, and communication. Effective supervision and clear roles are crucial for managing this uncertainty and fostering learning from challenging clinical experiences.

Keywords:
clinical supervisiondecision-makingpostgraduatesprofessional responsibilityuncertainty

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Area of Science:

  • Medical Education
  • Clinical Psychology
  • Healthcare Management

Background:

  • Medical trainees face inherent uncertainty, impacting their well-being and professional development.
  • Existing frameworks lack a comprehensive view of resident uncertainty, from its origins to their coping mechanisms.

Purpose of the Study:

  • To explore the multifaceted experiences of clinical uncertainty among medical residents.
  • To develop an integrated framework of resident uncertainty, considering specialty and training level variations.

Main Methods:

  • Qualitative study employing thematic template analysis of interviews with medical residents.
  • Utilized Hillen's uncertainty tolerance framework.
  • Involved residents from diverse specialties and training stages across five French medical schools.

Main Results:

  • Major sources of uncertainty include treatment management, ethical dilemmas, and communication challenges.
  • Delayed response to uncertainty emerged as a theme, contributing to experiential learning.
  • Prior clinical experience influenced uncertainty tolerance; increased responsibility enhanced self-efficacy but could also cause stress.

Conclusions:

  • Residents grapple with uncertainty due to limited experience and increasing responsibilities.
  • Structured responsibilities and defined roles can enhance residents' comfort with uncertainty.
  • Supervision and debriefing are vital for emotional support and learning from uncertain situations.