DocumentCode :
1959336
Title :
A Cloud collaborative approach for managing patients wellness
Author :
Ruiz-Zafra, Angel ; Noguera, Manuel ; Benghazi, Kawtar ; Ochoa, Sergio F.
Author_Institution :
Dept. de Lenguajes y Sist. Informaticos, Granada, Spain
fYear :
2015
fDate :
6-8 May 2015
Firstpage :
637
Lastpage :
642
Abstract :
Patients with chronic diseases or people with special health care needs are typically monitored by various health experts that address the problem from several perspectives. These experts usually do not interact directly between them; therefore, the instructions given to the patient by one of them are provided disregarding advices and instructions provided by the others. The collaboration between different health experts in a real context is mandatory to ensure the proper monitoring of the patient. This kind of collaboration, supported by technology, benefits the users´ health condition and helps the patient achieve their goals in terms of wellbeing. This paper presents an approach for collaborative management of events related to activity supervisions and monitoring of these patients types. It also introduces a model and a mobile application to support this collaborative work.
Keywords :
cloud computing; diseases; groupware; health care; medical computing; patient monitoring; activity supervisions; chronic diseases; cloud collaborative approach; collaborative management; collaborative work; health experts; mobile application; patient monitoring; patients wellness management; special health care needs; users health condition; wellbeing; Biomedical monitoring; Blood; Medical services; Monitoring; Optimized production technology; Robustness; Activities coordination; health monitoring; healthcare; mobile computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Supported Cooperative Work in Design (CSCWD), 2015 IEEE 19th International Conference on
Conference_Location :
Calabria
Print_ISBN :
978-1-4799-2001-3
Type :
conf
DOI :
10.1109/CSCWD.2015.7231032
Filename :
7231032
Link To Document :
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