# CareCruiser: Exploring and visualizing plans, events, and effects interactively
The authors introduce CareCruiser to support the exploration of effects on a patient's condition after clinical actions .
CareCruiser aims to provide an enhanced visual analysis system to explore the result of each applied clinical action and identities sub-optimal treatment choices. This helps clinicians investigate and optimize their treatment plans.
Figure 1 shows an overview of CareCruiser visualizing a patient's historical oxygen saturation(tcpSO2) and carbon dioxide(PCO2) pressure values during treatment plan executions. Colors are coded to represent the deviation of the value from its initial point, only brushed sections will be highlighted in color. Details of the brushed treatment plans are shown on the top left. The lower left shows a tree graph visualizing brushed treatment plans and sub-plans in a hierarchical structure. User options to filter and search clinical actions within the brushed area are shown above the main view.
Below the main view is the plan bar, glyphs are used to represent clinical actions along the x-axis which represents time. Actions applied that are not part of the plan are laid below the plan bar.
KNAVE II  introduces filtering on different granularities of time and event alignment with absolute and relative time scales.
LiveRAC  arranges charts in a matrix and provides reordering of rows and columns and zooming in multiple levels.
The authors only find a few tools that support visualization of applied treatment plans in combination with patient data. GOT  shows basic characteristics of the treatment plan with a focus on patient data. CareVis  supports temporal constraints of treatment plans. Midgaard  visualizes treatment plans in a hierarchical structure.
- Data source: unknown
- Size: 1 patient
- Spatial dimensionality: 2D
- Temporal dimensionality: static
- Type: multivariate
- Libraries used: Java
- Time-series chart
- Electronic Health Record Visualization
- Medical focus: discuss with Bob
Gschwandtner, T., Aigner, W., Kaiser, K., Miksch, S., & Seyfang, A. (2011). CareCruiser: Exploring and visualizing plans, events, and effects interactively. IEEE Pacific Visualization Symposium 2011, PacificVis 2011 - Proceedings, 43–50. https://doi.org/10.1109/PACIFICVIS.2011.5742371 ↩︎
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Aigner, W., & Miksch, S. (2006). CareVis: Integrated visualization of computerized protocols and temporal patient data. Artificial Intelligence in Medicine. https://doi.org/10.1016/j.artmed.2006.04.002 ↩︎
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