Proceedings of the Working Conference on Advanced Visual Interfaces 2004
DOI: 10.1145/989863.989889
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Knave Ii

Abstract: KNAVE-II is an intelligent interface to a distributed web-based architecture that enables users (e.g., physicians) to query, visualize and explore clinical time-oriented databases. Based on prior studies, we have defined a set of requirements for provision of a service for interactive exploration of time oriented clinical data. The main requirements include the visualization, interactive exploration and explanation of both raw data and multiple levels of concepts abstracted from these data; the exploration of … Show more

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Cited by 16 publications
(1 citation statement)
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“…As a graphical representation of data and statistical concepts, data visualizations particularly support decision making [13]. Data analysts, scientists, and statistical experts have been among the primary users of data visualization to date [14], but digitization of health services together with demographic change [15] and the recently observable shift toward patient empowerment are leading to an increase in the number of older adults without special background knowledge using data visualizations [16][17][18][19][20][21]. Accordingly, research on the visualization of health data is increasingly taking into account the perspective of older adults for design and evaluation [22][23][24].…”
Section: Data Visualizationmentioning
confidence: 99%
“…As a graphical representation of data and statistical concepts, data visualizations particularly support decision making [13]. Data analysts, scientists, and statistical experts have been among the primary users of data visualization to date [14], but digitization of health services together with demographic change [15] and the recently observable shift toward patient empowerment are leading to an increase in the number of older adults without special background knowledge using data visualizations [16][17][18][19][20][21]. Accordingly, research on the visualization of health data is increasingly taking into account the perspective of older adults for design and evaluation [22][23][24].…”
Section: Data Visualizationmentioning
confidence: 99%