Big data analytics in healthcare would be almost useless, without suitable tools allowing users \see" them, and gain insight for their situated decisions. The VVH (Valuable Visualization in Healthcare) workshop focuses on the role of interactive data visualization tools by which people can make sense of healthcare data; these data include sensor data, the messages exchanged in social media, the emails between patients and their doctors, the content of patient records as well as the discussions among different specialists that led to such record content. All these data are used by different types of users, like doctors, nurses, policy makers and common citizens. The VVH workshop aims at contributing on: The assessment of the usability of advanced interactive tools of health-related data visualization; the assessment of the quality of the information and value for insight that these tools make available to their users; the collection of reports of either success stories or failures in the appropriation and use of complex and multidimensional healthcare datasets; the collection of methodological and design-oriented contributions that could share methods, techniques, and heuristics for the design of interactive tools and applications supporting data work, data telling and data interpretation in healthcare.

Cabitza, F., Locoro, A., Fogli, D., Giacomin, M. (2016). Valuable visualization of healthcare information: From the quantified self data to conversations. In Proceedings of the Workshop on Advanced Visual Interfaces AVI (pp.376-380). Association for Computing Machinery [10.1145/2909132.2927474].

Valuable visualization of healthcare information: From the quantified self data to conversations

CABITZA, FEDERICO ANTONIO NICCOLO' AMEDEO
Primo
;
LOCORO, ANGELA
Secondo
;
2016

Abstract

Big data analytics in healthcare would be almost useless, without suitable tools allowing users \see" them, and gain insight for their situated decisions. The VVH (Valuable Visualization in Healthcare) workshop focuses on the role of interactive data visualization tools by which people can make sense of healthcare data; these data include sensor data, the messages exchanged in social media, the emails between patients and their doctors, the content of patient records as well as the discussions among different specialists that led to such record content. All these data are used by different types of users, like doctors, nurses, policy makers and common citizens. The VVH workshop aims at contributing on: The assessment of the usability of advanced interactive tools of health-related data visualization; the assessment of the quality of the information and value for insight that these tools make available to their users; the collection of reports of either success stories or failures in the appropriation and use of complex and multidimensional healthcare datasets; the collection of methodological and design-oriented contributions that could share methods, techniques, and heuristics for the design of interactive tools and applications supporting data work, data telling and data interpretation in healthcare.
No
paper
Data visualization; Human-data interaction; Social value of information; Software; Human-Computer Interaction
English
13th ACM International Working Conference on Advanced Visual Interfaces, AVI 2016
9781450341318
Cabitza, F., Locoro, A., Fogli, D., Giacomin, M. (2016). Valuable visualization of healthcare information: From the quantified self data to conversations. In Proceedings of the Workshop on Advanced Visual Interfaces AVI (pp.376-380). Association for Computing Machinery [10.1145/2909132.2927474].
Cabitza, F; Locoro, A; Fogli, D; Giacomin, M
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/136610
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