Related Experiment Video
Updated: Oct 3, 2025

Author Spotlight: Evaluating Clinicians' Adoption of Ultrasound-Guided Vascular Cannulation Through Simulation Training
Published on: August 9, 2024
Development of a Competency-Based Radiology Clerkship Using Categorical and Statistical Analysis of Assessment
Atul Agarwal1, S Gregory Jennings2, Richard B Gunderman3
1Assistant Professor, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, Indiana.
This study developed a competency-based radiology curriculum for medical students. The program significantly improved diagnostic accuracy for most critical radiologic diagnoses, identifying key learning gaps.
Area of Science:
- Medical Education
- Radiology
- Curriculum Development
Background:
- Medical education requires effective radiology training.
- Assessing competency in radiology is crucial for diagnostic accuracy.
- Curricular reform can enhance medical student learning in radiology.
Purpose of the Study:
- To develop and analyze a competency-based model for medical student radiology education.
- To guide curricular reform in radiology clerkships.
- To improve diagnostic skills in radiology for medical students.
Main Methods:
- A competency-based model was implemented for a 2-week radiology clerkship.
- 326 fourth-year medical students participated during the 2019-2020 academic year.
- Pre- and post-instruction knowledge on "must see" diagnoses was assessed using an online platform (ExamSoft), with statistical and categorical analysis.
Main Results:
- Significant improvement in diagnostic accuracy was observed for 85% of topics after instruction.
- The curriculum had a high impact on 48% of topics, a lower impact on 22%, and revealed learning gaps in 30% of topics.
- Categorical analysis identified specific areas of challenge for students.
Conclusions:
- The instructional program effectively increased medical student competency in critical radiologic diagnoses.
- Categorical analysis provides valuable insights beyond statistical analysis for tailoring education.
- This approach enables dynamic adjustments to teaching strategies to address identified learning gaps.
More Related Videos
10:17Improving Student Outcomes with an Adaptable Molecular Cloning Course-Based Undergraduate Research Experience
Published on: November 15, 2024
09:00Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education
Published on: August 16, 2024