QualDash: Adaptable Generation of Visualisation Dashboards for Healthcare Quality Improvement

Mai Elshehaly, Rebecca Randell, Matthew Brehmer, Lynn McVey, Natasha Alvarado, Chris P. Gale, Roy Ruddle

View presentation: 2020-10-30T14:15:00Z GMT-0600 Change your timezone on the schedule page
2020-10-30T14:15:00Z
Exemplar figure
QualDash is a dashboard generation engine that allows the dynamic configuration and deployment of visualisation dashboards for healthcare quality improvement (QI). We define a metric card metaphor as a unit of visual analysis in healthcare QI, and use this concept as a building block for generating highly adaptable dashboards. We refer to each metric card as a “QualCard”. This example shows a dashboard containing four dynamically generated QualCards (left) including one for a “Mortality” metric (a); and an expansion of the Mortality QualCard with categorical (b), quantitative (c) and temporal (d) subsidiary views, which are customisable via GUI elements (e).
Keywords

Information visualisation, task analysis, co-design, dashboards, design study, healthcare.

Abstract

Adapting dashboard design to different contexts of use is an open question in visualisation research. Dashboard designers often seek to strike a balance between dashboard adaptability and ease-of-use, and in hospitals challenges arise from the vast diversity of key metrics, data models and users involved at different organizational levels. In this design study, we present QualDash, a dashboard generation engine that allows for the dynamic configuration and deployment of visualisation dashboards for healthcare quality improvement (QI). We present a rigorous task analysis based on interviews with healthcare professionals, a co-design workshop and a series of one-on-one meetings with front line analysts. From these activities we define a metric card metaphor as a unit of visual analysis in healthcare QI, using this concept as a building block for generating highly adaptable dashboards, and leading to the design of a Metric Specification Structure (MSS). Each MSS is a JSON structure which enables dashboard authors to concisely configure unit-specific variants of a metric card, while offloading common patterns that are shared across cards to be preset by the engine. We reflect on deploying and iterating the design of QualDash in cardiology wards and pediatric intensive care units of five NHS hospitals. Finally, we report evaluation results that demonstrate the adaptability, ease-of-use and usefulness of QualDash in a real-world scenario.