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A Pragmatic Framework for Addressing Challenges and Mitigating Bias in Radiology Residency Selection: An Academic
Inas Mohamed1, Michael Wien1, Emily Meyers1
1Department of Radiology, University Hospitals Cleveland Medical Center, Case Western Reserve School of Medicine, 11100 Euclid Ave, Cleveland, OH 44106 (I.M., M.W., E.M., E.P., A.N., N.F., N.R.).
Academic Radiology
|October 9, 2025
Summary
Radiology residency programs can reduce bias by standardizing the selection process. Implementing a multilevel model for evaluating diagnostic radiology residency applications ensures equal opportunity and identifies suitable candidates.
Area of Science:
- Medical Education
- Residency Selection
- Diagnostic Radiology
Background:
- Residency selection is complex, with potential for bias at every stage.
- Interviews are subjective yet critical in the hiring process.
- Current selection methods struggle with high application volumes and time constraints.
Purpose of the Study:
- To address challenges and subjectivity in radiology residency selection.
- To implement strategies for impartial applicant evaluation.
- To provide a framework for reducing bias in residency applications.
Main Methods:
- Instituted a multilevel model for standardizing application evaluation (2022-2025 ERAS cycles).
- Focused on providing equal opportunity and assessing cultural fit.
- Evolved the model continuously throughout the cycles.
Main Results:
- Developed a systematic approach to application screening.
- Aimed to mitigate prejudices and biases in the selection process.
- Strategies promoted impartial evaluation of diagnostic radiology applicants.
Conclusions:
- Standardizing the residency selection process enhances objective judgment.
- Structured interviews and diverse decision-makers can reduce bias.
- The implemented model offers a framework for equitable residency selection.
Keywords:
Bias MitigationObjective ReviewResidency SelectionStandardized EvaluationStructured InterviewsMore Related Videos
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