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Related Experiment Videos

Scoring the objective structured clinical examination using a microcomputer.

B F Richards1, E B Philp, J R Philp

  • 1Office of Educational Research and Services, Bowman Gray School of Medicine of Wake Forest University, Winston-Salem, North Carolina.

Medical Education
|July 1, 1989
PubMed
Summary
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Computer scoring of Objective Structured Clinical Examinations (OSCEs) using optical mark-sheets and statistical software significantly improves efficiency and accuracy for large student groups. This method enhances data analysis capabilities for clinical competence assessment.

Area of Science:

  • Medical Education
  • Health Professions Education

Background:

  • Objective Structured Clinical Examinations (OSCEs) are widely used for assessing clinical competence.
  • Traditional OSCE scoring relies on manual methods, which are time-consuming and prone to errors.
  • Current manual scoring limits the depth of data analysis for student performance.

Purpose of the Study:

  • To describe a computer-based scoring method for OSCEs with over 100 students.
  • To introduce efficient and accurate data handling for clinical competence assessments.
  • To leverage existing statistical software for OSCE data analysis.

Main Methods:

  • Utilized optical mark-sheets for students, markers, and raters to record performance data.
  • Employed an optical mark reader to digitize data from mark-sheets.

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  • Applied statistical and test-scoring software for data processing.
  • Main Results:

    • Achieved efficient and accurate computer scoring of OSCE data.
    • Enabled data to be rescored, grouped into subscales, and weighted.
    • Facilitated easy printing of various report formats for performance analysis.

    Conclusions:

    • Computer scoring of OSCEs offers a more efficient and reliable alternative to manual methods.
    • This approach enhances the analytical potential of OSCE data for medical education.
    • The described method is scalable for large cohorts and improves assessment quality.