Hybrid data management system for mHealth

Mervat Abu-Elkheir, Karel Heurtefeux, Najah Abu Ali, Hamid Menouar

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)

    Abstract

    Mobile and wearable sensing technology stands to provide a wealth of information to healthcare providers, and allows them to envision systems with reduced costs, automated monitoring and evaluation, and overall improved healthcare services. However, the volume of data produced by such mobile and sensing technologies needs to be managed efficiently and continuously so as to realize its full potential in providing cutting-edge services. In this paper, we propose a mHealth data management system with the aim to provide near real-time operational an analytical services, while supporting long-term and offline processes and deep analytics. The components of the system will be discussed, and the potential workflows will be outlined.

    Original languageEnglish
    Title of host publicationProceedings of the 2014 4th International Conference on Wireless Mobile Communication and Healthcare - "Transforming Healthcare Through Innovations in Mobile and Wireless Technologies", MOBIHEALTH 2014
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages242-245
    Number of pages4
    ISBN (Electronic)9781631900143
    DOIs
    Publication statusPublished - Jan 20 2015
    Event4th International Conference on Wireless Mobile Communication and Healthcare, MOBIHEALTH 2014 - Athens, Greece
    Duration: Nov 3 2014Nov 5 2014

    Publication series

    NameProceedings of the 2014 4th International Conference on Wireless Mobile Communication and Healthcare - "Transforming Healthcare Through Innovations in Mobile and Wireless Technologies", MOBIHEALTH 2014

    Other

    Other4th International Conference on Wireless Mobile Communication and Healthcare, MOBIHEALTH 2014
    Country/TerritoryGreece
    CityAthens
    Period11/3/1411/5/14

    Keywords

    • Data management
    • IoT
    • MHealth

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Computer Science Applications
    • Electrical and Electronic Engineering
    • Health Informatics

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