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Using Clinical Data Visualizations in Electronic Health Record User Interfaces to Enhance Medical Student Diagnostic Reasoning: Randomized Experiment.

Lucille ChengYalini Senathirajah
Published in: JMIR human factors (2023)
These results support the possibility of inducing type-1 diagnostics in learners and the potential for data visualization and user design heuristics to reduce cognitive burden in clinical settings. Clinical data presentation in the diagnostic reasoning process is ripe for innovation, and further research is needed to explore the benefit of using such visualizations in medical education.
Keyphrases
  • electronic health record
  • clinical decision support
  • medical education
  • big data
  • double blind
  • randomized controlled trial
  • machine learning
  • clinical trial
  • case report
  • adverse drug
  • study protocol