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Struggling with strugglers: using data from selection tools for early identification of medical students at risk of failure.

James LiRachel ThompsonBoaz Shulruf
Published in: BMC medical education (2019)
Although medical admission tests are widely used, medical school rarely use these data for educational purposes. The results of this study suggest admission test data can predict who among the admitted students is likely to struggle in the program. Educationally, this information is invaluable. These results indicate that pre-admission academic achievement can be used to predict which students are likely to struggle in an Australian undergraduate medicine program. Further research into predicting other types of struggling students as well as remediation methods are necessary.
Keyphrases
  • medical students
  • emergency department
  • electronic health record
  • high school
  • big data
  • quality improvement
  • healthcare
  • social media