Proceedings of the 13th International Conference on Intelligent User Interfaces 2008
DOI: 10.1145/1378773.1378785
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Multi-modal presentation of medical histories

Abstract: This paper describes a visualisation architecture that integrates graphical devices and natural language in a cooperative system for navigating through complex images of medical histories. We show how the addition of automatically generated natural language can be used to improve the usability of a graphical user interface and conversely how the graphical user interface can be used to specify the content of user customizable medical reports.

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Cited by 34 publications
(19 citation statements)
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“…Kim et al [13] discovered and compared nursing intervention patterns by visualizing Omaha System intervention data using stream graphs. There were several software applications integrating medical records with visual navigation tools that allowed timeline access to particular events or sets of events in a patient's medical history [6,[14][15][16][17]. These studies suggest the clinical usefulness of data visualization.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Kim et al [13] discovered and compared nursing intervention patterns by visualizing Omaha System intervention data using stream graphs. There were several software applications integrating medical records with visual navigation tools that allowed timeline access to particular events or sets of events in a patient's medical history [6,[14][15][16][17]. These studies suggest the clinical usefulness of data visualization.…”
Section: Literature Reviewmentioning
confidence: 99%
“…1) [3][4][5][6][7][8][9]. The human eye and brain are evolutionarily optimised to process graphically rich imagery far more efficiently than blocks of text.…”
Section: The Graphically Rich Intuitive Time Structured Interactivmentioning
confidence: 99%
“…Multimedia interfaces have combined graphics and text in complementary ways, taking advantage of the strengths of one medium and compensating for the weaknesses of the other (e.g. [14]). Our interface is an extension earlier work on multimedia presentations of opinions mined from text [7].…”
Section: Multimedia Interfacesmentioning
confidence: 99%