Guideline-based decision support for the mobile patient incorporating data streams from a body sensor network

L.S.N. Fung, Valerie M. Jones, Richard G.A. Bults, Hermanus J. Hermens

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    Abstract

    We present a mobile decision support system (mDSS) which helps patients adhere to best clinical practice by providing pervasive and evidence-based health guidance via their smartphones. Similar to some existing clinical DSSs, the mDSS is designed to execute clinical guidelines, but it operates on streaming data from, e.g., body sensor networks instead of persistent data from clinical databases. Therefore, we adapt the typical guideline-based architecture by basing the mDSS design on existing data stream management systems (DSMSs); during operation, the mDSS instantiates from the guideline knowledge a network of concurrent streaming processes, avoiding the resource implications of traditional database approaches for processing patient data which may arrive at high frequencies via multiple channels. However, unlike typical DSMSs, we distinguish four types of streaming processes to reflect the full disease management process: Monitoring, Analysis, Decision and Effectuation. A prototype of the mDSS has been developed and demonstrated on an Android smartphone.
    Original languageUndefined
    Title of host publication4th International Conference on Wireless Mobile Communication and Healthcare (MobiHealth 2014)
    Place of PublicationBelgium
    PublisherICST
    Pages-
    Number of pages4
    ISBN (Print)978-1-63190-014-3
    DOIs
    Publication statusPublished - 2014

    Publication series

    Name
    PublisherICST

    Keywords

    • EWI-25736
    • BSS-Technology supported cognitive training
    • Pervasive computing
    • Telemedicine
    • IR-94252
    • Body sensor networks
    • Decision support systems
    • METIS-309900
    • Software design

    Cite this

    Fung, L. S. N., Jones, V. M., Bults, R. G. A., & Hermens, H. J. (2014). Guideline-based decision support for the mobile patient incorporating data streams from a body sensor network. In 4th International Conference on Wireless Mobile Communication and Healthcare (MobiHealth 2014) (pp. -). Belgium: ICST. https://doi.org/10.4108/icst.mobihealth.2014.257420