Predicting failure before it happens: A 5-year, 1042 participant prospective study.
Avril DewarDavid HopeAlan JaapHelen CameronPublished in: Medical teacher (2021)
At-risk medical students can be identified with some accuracy immediately after starting medical school using routinely collected, easily analysed data, allowing for tailored interventions to support students. The toolkit provided here can reproduce the predictive model in any equivalent educational context. Medical educationalists must evaluate how the advantages of early detection are balanced against the potential invasiveness of using student data.