Projects, designs, and writings on health IT

2015-06-12

Designing Better Clinical Views

5:50 PM Posted by David Do, MD , , , No comments
Designers: David Do, Eugene Gitelman, Ian Oppenheim, Jason Maley, and Barry Fuchs

The dashboard concept has been around for a long time, but dashboards still see limited adoption in medicine. Why is that so? How can we be different? By thinking about dashboards firstly through the provider’s eyes, and secondly as a platform, we address several key barriers to adoption:
  • Simplicity – in these examples, we allowed ourselves to be inspired by paper notes and diagrams that doctors use. We plot data on trendlines and we can put data side-by-side to examine the interplay of assessments and interventions.
  • Designability – A straightforward interface lets providers design and share dashboards. The respiratory dashboard is not only informative but also instructive, training users to dichotomize “oxygenation” and “ventilation”. Other specialists in the hospital may have analogous lessons.
  • Tweakability – as we learned in the Carealign process, not all data are of equal importance. The most time consuming part of construction happens after the design, finding the right study names, filtering and “massaging” data (e.g. formatting to fit the fishbones). This dashboard platform lets users make instantaneous adjustments.




Figure 1: Respiratory view is informative and instructive, helping users think about ventilator settings in terms of “Oxygenation” v “Ventilation”.





Figure 2: Each view is designed to answer a particular question. The ID view should contain all the data that an infectious disease specialist uses in order to make an antibiotic decision.





Figure 3: A quick glance at the Quality Indicators view shows patients with foley catheters or indwelling lines



Figure 4: Users can become designers by defining their own views, choosing the types of data to be displayed in each panel


Figure 5: Diabetes views

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