Healthcare Data Visualization & Dashboards Flashcards

A healthcare analyst is building a dashboard to track surgical site infection rates across 10 hospitals. Which visualization best supports benchmarking comparisons?

Answer: Grouped bar chart

Grouped bar charts allow side-by-side comparison of the same metric across multiple entities, making it easy to benchmark each hospital against others.

When visualizing HEDIS quality measure performance, which chart type effectively shows actual performance versus a target threshold simultaneously?

Answer: Bullet chart

Bullet charts are designed to display a primary measure against a target and qualitative ranges, making them ideal for HEDIS performance-versus-target comparisons.

Which color principle is most important when designing healthcare dashboards for users who may have color vision deficiency?

Answer: Ensure sufficient luminance contrast and use pattern redundancy

Ensuring sufficient luminance contrast and adding redundant encoding (such as patterns or labels) makes dashboards accessible to users with color vision deficiencies, not relying on hue alone.

A population health manager needs to show the geographic distribution of diabetes prevalence by county. Which visualization is most appropriate?

Answer: Choropleth map

Choropleth maps encode quantitative data using color shading across geographic areas, making them ideal for displaying county-level prevalence of conditions like diabetes.

Which dashboard interactivity feature allows users to click a region on a map and automatically filter all other charts on the page to that region?

Answer: Cross-filtering / linked selection

Cross-filtering (linked selection) synchronizes interactions across multiple visuals so that selecting a region on one chart filters the data displayed in all other charts on the dashboard.

A quality analyst uses a control chart to monitor monthly catheter-associated urinary tract infection (CAUTI) rates. What do the upper and lower control limits represent?

Answer: Three standard deviations from the process mean

Control limits in a statistical process control chart are calculated at ±3 standard deviations from the process mean, distinguishing common cause variation from special cause variation.

Which visualization technique is best for showing how patients flow through stages of care from ED admission to discharge?

Answer: Sankey diagram

Sankey diagrams visualize flow and volume through connected stages or nodes, making them ideal for showing patient care pathways and where volume drops off between stages.