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The feasibility and effectiveness of a blended-learning course for detecting and avoiding bias in medical data: a pilot study.

Cora KochJochen Brich
Published in: BMC medical education (2020)
The blended learning format of the course was feasible and effective. The results suggest a relevant learning gain; however, the low mean score on the key feature test after the course reflects the difficulty of the subject matter. Although a single course has the potential to induce significant short-term improvements in bias detection skills, the complexity of this important subject necessitates its longitudinal integration into medical curricula. This concept should include specific courses such as that presented here as well as an integration of the topic into clinical courses to improve context-related understanding of COIs and medical data bias.
Keyphrases
  • healthcare
  • electronic health record
  • randomized controlled trial
  • big data
  • machine learning
  • deep learning
  • loop mediated isothermal amplification
  • climate change