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Related Concept Videos

Systematic Error: Methodological and Sampling Errors01:15

Systematic Error: Methodological and Sampling Errors

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In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
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Fundamental Attribution Error01:14

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According to some social psychologists, people tend to overemphasize internal factors as explanations—or attributions—for the behavior of other people. They tend to assume that the behavior of another person is a trait of that person, and to underestimate the power of the situation on the behavior of others. They tend to fail to recognize when the behavior of another is due to situational variables, and thus to the person’s state. This erroneous assumption is...
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Random Error01:04

Random Error

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Random or indeterminate errors originate from various uncontrollable variables, such as variations in environmental conditions, instrument imperfections, or the inherent variability of the phenomena being measured. Usually, these errors cannot be predicted, estimated, or characterized because their direction and magnitude often vary in magnitude and direction even during consecutive measurements. As a result, they are difficult to eliminate. However, the aggregate effect of these errors can be...
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The margin of error is also called the maximum error of an estimate. The margin of error is the maximum possible or expected difference between the observed sample parameter value and the actual population parameter value. For proportion, it is the maximum difference between the value of sample proportion obtained from the data and the true value of population proportion. As the true value of the population parameter is not known, the margin of error is calculated using the sample statistic.
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Effective sample preparation is crucial for accurate and reliable laboratory analysis. During this process, two significant sources of error can arise: concentration bias from improper sample splitting and contamination caused by methods used to reduce particle size, such as grinding or homogenization. Identifying and minimizing these potential errors is crucial to ensuring the validity of the analysis.
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Standard Error of the Mean01:13

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The sampling variability of a statistic is defined as how much the statistic varies from one sample to another. The sampling variability of a statistic is typically measured by measuring its standard error.
The standard error of the mean is an example of a standard error. It is a unique standard deviation known as the standard deviation of the sampling distribution of the mean. The standard error of the mean is a statistic that calculates how correctly a sample distribution represents a...
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Educational Targets to Reduce Medication Errors by General Surgery Residents.

Alex Chaitoff1, Andrew T Strong2, Seth R Bauer3

  • 1Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, Ohio.

Journal of Surgical Education
|May 14, 2019
PubMed
Summary

General surgery residents commonly make medication order errors, particularly with duplicate therapies and renal dosing. Interventions should target specific drug classes, the start of the academic year, and intensive care unit settings.

Keywords:
Medical KnowledgePatient CarePractice-Based Learning and ImprovementSystems-Based Practiceeducationerrorsinter-professionalqualityresidency

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Area of Science:

  • Medical Informatics
  • Patient Safety
  • Surgical Residency Education

Background:

  • Hospitalized patients face frequent medication errors.
  • Data on factors contributing to medication order errors by general surgery residents are limited.
  • Understanding these errors is crucial for improving patient safety and resident training.

Purpose of the Study:

  • To identify patterns in medication order errors made by general surgery residents.
  • To establish educational targets for reducing medication errors in this population.
  • To inform strategies for enhancing patient safety in surgical care.

Main Methods:

  • Retrospective cohort study design.
  • Analysis of inpatient medication orders from a computerized physician order entry system.
  • Review of orders placed by general surgery residents at a single academic medical center from 2011 to 2018.

Main Results:

  • 4.2% of over 571,000 medication orders triggered pharmacist intervention.
  • Common errors included duplicate therapies (36.1%) and renal dosing errors (31.3%).
  • Error rates were higher in the intensive care unit and during August, with notable exceptions for antimicrobials and anticoagulants.

Conclusions:

  • Medication order errors by general surgery residents are prevalent.
  • Errors are associated with specific therapeutic classes, the start of the academic year, and intensive care unit settings.
  • Findings support targeted educational interventions and interdisciplinary team collaboration for quality surgical care.