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Published on: November 24, 2021
The design and evaluation of a graphical display for laboratory data
David T Bauer1, Stephanie Guerlain, Patrick J Brown
1University of Virginia, Charlottesville, Virginia, USA.
Summary
Graphical displays, like sparklines, can improve physician interpretation of laboratory data, but optimal design depends on user and data characteristics. This study compared graphical and tabular formats for medical data assessment.
Area of Science:
- Medical Informatics
- Human-Computer Interaction
- Clinical Data Visualization
Background:
- Healthcare information technology enables novel data presentation methods.
- Sparklines, a type of data-dense graphic, are proposed for medical data representation but lack extensive study.
- Understanding the impact of new display formats on clinical decision-making is crucial.
Purpose of the Study:
- To investigate the effect of a novel laboratory display featuring sparklines on physicians' interpretation of medical data.
- To compare the effectiveness of graphical sparkline displays versus conventional table displays for assessing laboratory results.
Main Methods:
- Twelve physicians verbally assessed laboratory data for four pediatric intensive care unit patients.
- Data were presented using both a graphical sparkline display and a conventional table display.
- Physician verbalizations were analyzed for identified abnormal values and trends; assessment time was also measured.
Main Results:
- Physicians completed assessments significantly faster using the graphical display (3.6 min vs. 4.4 min, p=0.042).
- Thirty-seven percent of interpretations differed between the graphical and tabular displays.
- Graphs aided in identifying trends, while tables were better for spotting slightly abnormal values.
Conclusions:
- The format of data presentation significantly influences physician interpretation of laboratory results.
- Graphical displays offer advantages for certain data interpretation tasks but are not universally superior to numeric displays.
- Effective design of information displays requires consideration of user, task, and data characteristics.
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