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Some assembly required: tracing the interpretative work of Clinical Competency Committees.

Rachael PackLorelei LingardChristopher J WatlingSaad ChahineSayra M Cristancho
Published in: Medical education (2019)
Small groups involved in the review of trainee assessment data should be prepared to encounter evidence that is uncertain, absent, incomplete, or otherwise difficult to interpret, and should openly discuss strategies for addressing these challenges. The answer to the problem of effortful processes of data interpretation and problematic evidence is not as simple as generating more data with strong psychometric properties. Rather, it involves grappling with the discrepancies between our interpretive frameworks and the inescapably subjective nature of assessment data and judgement.
Keyphrases
  • electronic health record
  • big data
  • psychometric properties
  • machine learning
  • physical activity
  • depressive symptoms
  • deep learning