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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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Beyond the USMLE: The STAR Algorithm for Initial Residency Applicant Screening and Interview Selection.

Jennifer A Villwock1, Chelsea S Hamill1, Keith A Sale1

  • 1Department of Otolaryngology, University of Kansas Medical Center, 3901 Rainbow Blvd, Kansas City, Kansas.

The Journal of Surgical Research
|January 30, 2019
PubMed
Summary
This summary is machine-generated.

The Selection Tool for Applicants to Residency (STAR) offers an efficient, objective method for screening residency candidates. This approach reduced review time without altering the diversity of interviewed applicants.

Keywords:
OtolaryngologyResidency applicationResidency educationResident selectionSelection algorithm

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Area of Science:

  • Medical Education
  • Residency Admissions
  • Surgical Training

Background:

  • Current residency candidate screening methods are often inefficient and may introduce bias.
  • Objective tools are needed to improve the fairness and efficiency of the selection process.
  • The otolaryngology residency program sought to address these limitations.

Purpose of the Study:

  • To design, implement, and evaluate the impact of the Selection Tool for Applicants to Residency (STAR).
  • To assess STAR's effectiveness as an objective approach for selecting residency interview candidates.
  • To determine if STAR influences the characteristics of successfully matched residents.

Main Methods:

  • A retrospective cohort study analyzed 365 otolaryngology residency applications from 2008-2015.
  • The STAR algorithm was implemented in 2013, removing the need for a USMLE cutoff score for interviews.
  • Characteristics of applicants and successfully matched residents were compared pre- and post-STAR implementation.

Main Results:

  • Applicant pools showed similar characteristics before and after STAR implementation.
  • Despite no USMLE cutoff, average scores of interviewed candidates significantly increased post-STAR.
  • The proportion of women and underrepresented minorities invited for interviews remained unchanged.
  • STAR significantly reduced application review and interview candidate selection time.

Conclusions:

  • The Selection Tool for Applicants to Residency (STAR) provides an efficient and objective alternative to traditional application review.
  • STAR decreases evaluative time and may mitigate unconscious bias in residency selection.
  • Objective tools like STAR can improve the residency application screening process.