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Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling
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Modeling the Urology Residency Application and Match Process: A Mathematical Argument for Application and Interview
Sameer Farooq1, Akanksha Mehta1
1Department of Urology, Emory University School of Medicine, Atlanta, GA.
Urology
|December 26, 2022
Summary
Implementing application and interview caps in urology residency matching can significantly reduce application numbers and save time and money for applicants and programs. A cap of 50 applications and 20 interviews per applicant optimizes the match process.
Area of Science:
- Medical Education
- Surgical Training
- Residency Matching
Background:
- The urology residency match is a competitive process with a high volume of applications and interviews.
- Current application volumes lead to significant time and financial burdens for applicants and programs.
- Optimizing the match process is crucial for improving efficiency and applicant experience.
Purpose of the Study:
- To develop a mathematical model to predict the impact of application and interview caps on urology match success.
- To determine optimal cap numbers for applications and interviews in the urology residency match.
Main Methods:
- A mathematical model was created using 2020-2021 American Urological Association (AUA) data in MATLAB.
- Simulated 481 applicants and 357 training positions across 143 urology programs.
- Applicants and programs were stratified based on performance and Doximity rankings, respectively.
Main Results:
- Optimized caps of 50 applications and 20 interviews per applicant filled all training positions and nearly all interview spots.
- Applicant strata (top, middle, bottom) showed expected matching frequencies.
- Applicant preference distribution remained stable compared to actual match data.
Conclusions:
- Caps of 50 applications and 20 interviews can reduce applications by at least 39%, saving over 17,000 applications, $832 per applicant, and 4400 hours.
- These caps streamline the urology match process, reducing costs and time for all stakeholders.
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