Related Experiment Video
Updated: Feb 2, 2026

Improving Student Outcomes with an Adaptable Molecular Cloning Course-Based Undergraduate Research Experience
Published on: November 15, 2024
An Electronic Interview Tracking Tool to Guide Medical Students Through the Match: Improvements in Advising and Match
Neda Frayha1, John Raczek, Julia Lo
1N. Frayha is assistant professor, part-time, Office of Student Affairs, University of Maryland School of Medicine, Baltimore, Maryland. J. Raczek is a web developer, Office of Medical Education, University of Maryland School of Medicine, Baltimore, Maryland; ORCID: https://orcid.org/0000-0003-4493-5847. J. Lo is a research analyst, Institute of Human Virology, University of Maryland School of Medicine, Baltimore, Maryland. J. Martinez is assistant dean of student affairs, assistant dean of clinical medical education, and associate professor, Departments of Emergency Medicine and Internal Medicine, University of Maryland School of Medicine, Baltimore, Maryland. D. Parker is associate dean of student affairs and associate professor, Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland.
Problem:
Medical students are applying to increasing numbers of residency programs to increase their likelihood of success in the Match. However, they have limited data to help them understand their level of competitiveness or identify programs to which they should apply.
Approach:
In 2014-2015 (Match year 2015), the University of Maryland School of Medicine's (UMSOM's) Office of Student Affairs (OSA) implemented an electronic interview tracking tool in which students update their residency application interview status on an ongoing basis. OSA deans can filter and sort data by student, specialty, program, academic metrics, and interview status. The deans use these data to advise students in real time, provide students with examples of programs to consider, and engage clinical faculty to support students at risk of not matching.
Outcomes:
In the Match years 2015, 2016, and 2017, respectively, 86% (n = 135/157), 87% (n = 138/159), and 94% (n = 151/161) of UMSOM students participated actively in this tracking tool, adding over 3,000 data points per year. Following the tool's launch, the average number of applications per student remained stable. The UMSOM's Match rate and percentages of students self-reporting a match in their top three choices and rating the school's advising as "very useful" all increased, without comparable increases in national data.
Next Steps:
This tool, which provides students with data-driven examples of programs to which they should consider applying, may be beneficial to students, faculty, and program directors at other institutions-and to the residency application process, if adopted broadly.
Related Concept Videos
Sign Test for Matched Pairs
To conduct the sign test, we first calculate the differences in...
Wilcoxon Signed-Ranks Test for Matched Pairs
Student t Distribution
The Student t distribution was developed by William S. Goset (1876–1937) of the...
Microsoft Excel: Student's t-Test
To conduct a t-test in Excel, use the T.TEST function or the "Data...
Improving Translational Accuracy
Predicting Reaction Outcomes

