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Exploring how feedback reflects entrustment decisions using artificial intelligence.

Brian C GinOlle Ten CatePatricia S O'SullivanKaren E HauerChristy K Boscardin
Published in: Medical education (2021)
Framing our results in the factors previously identified as influencing entrustment, we find a focus on performance details related to trainees' clinical competency as opposed to nonspecific feedback on trainee qualities. The entrustment framework reflected in feedback appeared to guide specific goal-setting, combined with details necessary to reach those goals. Our NLP methodology can also serve as a starting point for future work on entrustment and feedback as similar assessment datasets accumulate.
Keyphrases
  • artificial intelligence
  • machine learning
  • big data
  • deep learning
  • current status
  • public health
  • rna seq
  • global health