Diversity of the physician workforce: Specialty choice decisions during medical school.

Background: Despite efforts to increase the overall diversity of the medical student body, some medical specialties have a less diverse applicant pool based on both gender and race than would be expected based on medical graduate demographics.

Objectives: To identify whether women and Underrepresented in Medicine (URiM) medical students have baseline differences in their career interests or if their career plans change more during medical school when compared to men and non-URIM students.

Methods: Secondary data analyses of all medical students who applied through ERAS from 2005-2010 was conducted.

Diversity in Emergency Medicine: Are We Supporting a Career Interest in Emergency Medicine for Everyone?

Study Objective: Women and students underrepresented in medicine are less likely to apply for residency in emergency medicine. The latter are from racial or ethnic populations that are underrepresented as physicians relative to the general population. The factors that result in lower application rates from women and groups underrepresented in medicine are inadequately described in the literature.

Predicting Medical School Enrollment Behavior: Comparing an Enrollment Management Model to Expert Human Judgment.

Purpose: Medical school admissions committees are tasked with fulfilling the values of their institutions through careful recruitment. Making accurate predictions regarding enrollment behavior of admitted students is critical to intentionally formulating class composition and impacts long-term physician representation. The predictive accuracy and potential advantages of employing an enrollment predictive model in medical school admissions compared with expert human judgment have not been tested.

Enrollment Management in Medical School Admissions: A Novel Evidence-Based Approach at One Institution.

Purpose: In higher education, enrollment management has been developed to accurately predict the likelihood of enrollment of admitted students. This allows evidence to dictate numbers of interviews scheduled, offers of admission, and financial aid package distribution. The applicability of enrollment management techniques for use in medical education was tested through creation of a predictive enrollment model at the University of Michigan Medical School (U-M).

Predictive efficacy of Chiropractic College Assessment Test scores in basic science chiropractic education.

Objective: To evaluate the ability of Chiropractic College Assessment Test (CCAT) to explain academic success within a chiropractic basic science curriculum.

Methods: The CCAT examination was administered to 202 subjects from 1 chiropractic college on the first day of classes. Zero-order Pearson correlations were used to examine for associations between the prechiropractic grade point average (GPA), CCAT scores, and basic science GPA.