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Related Concept Videos

Systematic Error: Methodological and Sampling Errors01:15

Systematic Error: Methodological and Sampling Errors

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...
Types of Errors: Detection and Minimization01:12

Types of Errors: Detection and Minimization

Error is the deviation of the obtained result from the true, expected value or the estimated central value. Errors are expressed in absolute or relative terms.
Absolute error in a measurement is the numerical difference from the true or central value. Relative error is the ratio between absolute error and the true or central value, expressed as a percentage.
Errors can be classified by source, magnitude, and sign. There are three types of errors: systematic, random, and gross.
Systematic or...
Methods of Documentation V: CBE01:23

Methods of Documentation V: CBE

Charting by Exception, or CBE, is a method of documentation used in healthcare, particularly in nursing, that focuses on documenting only significant or abnormal findings rather than recording every detail. This approach aims to streamline the documentation process, improve efficiency, and ensure that healthcare providers can quickly identify deviations from normalcy in patient assessments.
In CBE, healthcare professionals establish predefined standards of practice that define what constitutes...
Multiple Comparison Tests01:13

Multiple Comparison Tests

Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...

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Related Experiment Video

Updated: Jul 4, 2026

Flexible Colonoscopy in Mice to Evaluate the Severity of Colitis and Colorectal Tumors Using a Validated Endoscopic Scoring System
15:49

Flexible Colonoscopy in Mice to Evaluate the Severity of Colitis and Colorectal Tumors Using a Validated Endoscopic Scoring System

Published on: October 16, 2013

Development of computer-based OSCE re-examination system for minimizing inter-examiner discrepancy.

Shinichi Abe1, Eiji Kawada

  • 1Dental Education Development Center, Tokyo Dental College, 1-2-2 Masago, Mihama-ku, Chiba, Japan.

The Bulletin of Tokyo Dental College
|June 27, 2008
PubMed
Summary

This study introduces a novel re-examination system to improve the reliability of the objective structured clinical examination (OSCE). The system uses digital filming and a third examiner to reduce discrepancies in clinical skills assessment.

Related Experiment Videos

Last Updated: Jul 4, 2026

Flexible Colonoscopy in Mice to Evaluate the Severity of Colitis and Colorectal Tumors Using a Validated Endoscopic Scoring System
15:49

Flexible Colonoscopy in Mice to Evaluate the Severity of Colitis and Colorectal Tumors Using a Validated Endoscopic Scoring System

Published on: October 16, 2013

Area of Science:

  • Medical Education
  • Clinical Skills Assessment
  • Assessment Reliability

Background:

  • Objective Structured Clinical Examination (OSCE) is a validated method for evaluating clinical skills.
  • Inter-examiner reliability remains a significant challenge in OSCE implementation.
  • Discrepancies among examiners can impact the fairness and accuracy of skill evaluation.

Purpose of the Study:

  • To develop and evaluate a novel OSCE re-examination system.
  • To enhance inter-examiner reliability in clinical skills assessment.
  • To provide a tool for improved feedback in medical education.

Main Methods:

  • A digital filming and electronic storage system for student OSCE performance was implemented.
  • An automated system extracted items with inter-examiner discrepancy for re-evaluation.
  • A third examiner re-evaluated flagged items using digital recordings.

Main Results:

  • The system successfully identified and facilitated re-evaluation of items with inter-examiner discrepancy.
  • Digital recordings provided objective references for re-assessment.
  • The system enabled targeted feedback for examiners and students.

Conclusions:

  • The developed OSCE re-examination system effectively addresses inter-examiner reliability concerns.
  • Digital filming and third-party re-evaluation enhance the objectivity of clinical skills assessment.
  • This system offers a valuable tool for attitude and skill development in medical training.