Please use this identifier to cite or link to this item: http://arl.liuc.it/dspace/handle/2468/6008
Title: Valuable visualization of healthcare information: from the quantified self data to conversations
Authors: Cabitza, Federico
Locoro, Angela
Fogli, Daniela
Giacomin, Massimiliano
Issue Date: 2016
Publisher: The Association for Computing Machinery
Bibliographic citation: Cabitza Federico, et al. (2016), Valuable visualization of healthcare information: from the quantified self data to conversations. In: Buono Paolo, et al., ed., AVI 2016: proceedings of the 2016 International working conference on advanced visual interfaces: June 7-10, 2016, Bari, Italy. (ACM international conference proceedings series). New York: The Association for Computing Machinery, p. 376-380. ISBN 978-1-4503-4131-8. DOI 10.1145/2909132.2927474.
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.
URI: http://arl.liuc.it/dspace/handle/2468/6008
Journal/Book: AVI 2016: proceedings of the 2016 International working conference on advanced visual interfaces: June 7-10, 2016, Bari, Italy
ISBN: 978-1-4503-4131-8
Appears in Collections:Contributo in atti di convegno

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