• 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