Name
Abstract | ||
|---|---|---|
In recent years, sophisticated visualization methods have been developed to support both, the logical structure and the time-oriented aspects of computer-executable clinical treatment plans. However, visualizing the effects of applying treatment plans as well as supporting the exploration of effects on the patient's condition are still largely unresolved tasks. To fill this gap, we have developed a prototype that enhances known visualization methods to communicate the processes of treatment plan application together with their effects on a patient's condition in an easily understandable way. Our prototype combines the advantages of enhanced visual recognition of patterns with traditional information of parameters' development. Thus, it provides means (1) to assess success or failure of previously applied treatment plans, (2) to explore the effects of each applied clinical action on the patient's condition, and (3) to identify sub-optimal treatment choices. These means help physicians to optimize their treatment choices and enable developers of clinical practice guidelines (CPGs) to investigate and readjust these treatment plans. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/PACIFICVIS.2011.5742371 | PacificVis |
Keywords | Field | DocType |
sophisticated visualization method,sub-optimal treatment choice,computer-executable clinical treatment plan,visualizing plan,treatment plan,clinical action,effects interactively,visualization method,clinical practice guideline,means help physician,treatment choice,treatment plan application,treatment planning,diamond like carbon,cpg,information system,data visualization,pattern recognition,computer graphic,data visualisation,visualization,prototypes,color | Data visualization,Clinical treatment,Visualization,Computer science,Clinical Practice,Visual recognition,Human–computer interaction,Structure (mathematical logic),Patient treatment | Conference |
ISSN | Citations | PageRank |
2165-8765 | 25 | 0.94 |
References | Authors | |
16 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Theresia Gschwandtner | 1 | 171 | 17.43 |
| wolfgang aigner | 2 | 842 | 51.72 |
| Katharina Kaiser | 3 | 85 | 9.69 |
| Silvia Miksch | 4 | 2212 | 174.85 |
| Andreas Seyfang | 5 | 246 | 22.48 |