Below is a transcript of the following Academic Medicine Podcast episode: Using Machine Learning in Residency Applicant Screening September 20, 2021 Read more about this episode and listen here. Toni Gallo: This episode is brought to you by Stanford Medicine. Are you an aspiring or early-career physician leader, looking for the skills to help take your …
Continue reading Transcript for Using Machine Learning in Residency Applicant Screening
On this episode of the Academic Medicine Podcast, guest Jesse Burk-Rafel, MD, MRes, joins hosts Toni Gallo and Research in Medical Education (RIME) Committee member Mahan Kulasegaram, PhD, to discuss the development of a decision support tool that incorporates machine learning and the use of that tool in residency applicant screening. They also talk about the …
Continue reading Using Machine Learning in Residency Applicant Screening
Societal awareness of racial, gender, and ethnic bias has increased, but other stigmatized groups remain at risk for exclusion. It is important to consider lesser known forms of bias and their potential for influencing behavior. To this end, in our recent Academic Medicine article, we used the application photograph to study the impact of applicants’ …
Continue reading Appearance-Based Discrimination in GME Resident Selection
Darrell Kirch, MD, president and CEO of the Association of American Medical Colleges (@AAMCtoday), joins the Academic Medicine Podcast to discuss his work at the AAMC and as part of the Coalition for Physician Accountability; important issues in medical education today including physician well-being, competency-based medical education, and GME selection and training; and the future …
Editor's Note: For more on using USMLE Step 1 scores to screen applicants for residency, see the commentary by Prober et al in the January 2016 issue. By: Jessica G. Fried, MD, PGY-1 Preliminary Medicine Resident, Lankenau Medical Center, Wynnewood, PA I remember the night before I took Step 1 of the United States Medical Licensing …
