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User-Centered Clinical Display Design Issues for Inpatient Providers.

Thomas A LaskoDavid A OwensDaniel FabbriJonathan P WandererJulian Z GenkinsLaurie L Novak
Published in: Applied clinical informatics (2020)
These results conflict with the ubiquitous display design practice of separating data by type (test results, medications, notes, etc.), a mismatch that is known to encumber efficient mental processing by increasing both navigation burden and memory demands on users. A popular and obvious solution is to select or filter the data to display exactly what is presumed to be relevant to the clinical question, but this solution is both brittle and mistrusted by users. A less brittle approach that is more aligned with our users' mental model could use abstraction to summarize details instead of filtering to hide data. An abstraction-based approach could allow clinicians to more easily assemble a clinical picture, to use immediate pattern recognition strategies, and to adjust the level of displayed detail to their particular needs. It could also help the user notice unanticipated patterns and to fluidly shift attention as understanding evolves.
Keyphrases
  • mental health
  • electronic health record
  • big data
  • healthcare
  • primary care
  • working memory