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Harnessing Natural Language Processing to Support Decisions Around Workplace-Based Assessment: Machine Learning Study of Competency-Based Medical Education

Harnessing Natural Language Processing to Support Decisions Around Workplace-Based Assessment: Machine Learning Study of Competency-Based Medical Education

With a diverse team of educators, computer scientists, and clinicians, we have been able to move the mark toward solving a problem that many medical educators are facing around qualitative comments. However, our study has also some limitations. Residency training selects for highly qualified and high-performing learners. As a result, assessments have a positive yield that creates a right-skewed data distribution, where residents tend to have higher ratings rather than low ratings.

Yusuf Yilmaz, Alma Jurado Nunez, Ali Ariaeinejad, Mark Lee, Jonathan Sherbino, Teresa M Chan

JMIR Med Educ 2022;8(2):e30537