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Updated: Sep 10, 2025

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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
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Do cognitively based medical selection assessment scores predict doctors' clinical competency? A protocol for a
Taha Khan1, Karen Mattick2, Paul Alexander Tiffin3
1Hull York Medical School Centre for Health and Population Sciences, York, UK taha.khan6@nhs.net.
BMJ Open
|August 25, 2025
Summary
Cognitive selection assessments in medical schools predict academic success but may burden applicants. This review examines if these tests predict future clinical competency in doctors.
Area of Science:
- Medical Education
- Healthcare Professional Assessment
Background:
- Medical schools increasingly use cognitive selection assessments for applicant screening.
- These assessments show predictive validity for academic performance, complementing secondary school grades.
- Concerns exist regarding applicant burden, institutional costs, and potential disadvantages for under-represented groups.
Purpose of the Study:
- To systematically review and appraise evidence linking cognitive selection assessment scores to doctors' future clinical competency.
- To evaluate if these assessments predict performance in post-qualification clinical examinations or clinical outcomes.
Main Methods:
- A comprehensive search of eight databases and grey literature from January 2000 onwards.
- Independent study selection, data extraction, and quality/bias assessment by two authors.
- Narrative synthesis to appraise and integrate findings from included studies.
Main Results:
- This section is to be populated upon study completion.
Conclusions:
- This section is to be populated upon study completion.
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