A quality-of-data aware mobile decision support system for patients with chronic illnesses

Nekane Larburu, Boris van Schooten, Erez Shalom, Nick Fung, Marten van Sinderen, Hermie Hermens, Val Jones

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    4 Scopus citations

    Abstract

    We present a mobile decision support system (mDSS) which runs on a patient Body Area Network consisting of a smartphone and a set of biosensors. Quality-of-Data (QoD) awareness in decision making is achieved by means of a component known as the Quality-of-Data Broker, which also runs on the smartphone. The QoD-aware mDSS collaborates with a more sophisticated decision support system running on a fixed back-end server in order to provide distributed decision support. This distributed decision support system has been implemented as part of a larger system developed during the European project MobiGuide. The MobiGuide system is a guideline-based Patient Guidance System designed to assist patients in the management of chronic illnesses. The system, including the QOD-aware mDSS, has been validated by clinicians and is being evaluated in patient pilots against two clinical guidelines.

    Original languageEnglish
    Title of host publicationKnowledge Representation for Health Care - AIME 2015 International Joint Workshop, KR4HC/ProHealth 2015, Revised Selected Papers
    EditorsManfred Reichert, David Riaño, Mor Peleg, Annette ten Teije, Richard Lenz, Silvia Miksch
    PublisherSpringer Verlag
    Pages126-139
    Number of pages14
    ISBN (Print)9783319265841
    DOIs
    StatePublished - 1 Jan 2015
    EventArtificial Intelligence in Medicine Conference, AIME 2015 held with International Joint Workshop on Knowledge-Representation for Health-Care and Process-Oriented Information Systems in Health-Care, KR4HC/ProHealth 2015 - Pavia, Italy
    Duration: 20 Jun 201520 Jun 2015

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume9485
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    ConferenceArtificial Intelligence in Medicine Conference, AIME 2015 held with International Joint Workshop on Knowledge-Representation for Health-Care and Process-Oriented Information Systems in Health-Care, KR4HC/ProHealth 2015
    Country/TerritoryItaly
    CityPavia
    Period20/06/1520/06/15

    Keywords

    • Computer-interpretable clinical guidelines
    • Context-aware healthcare processes
    • Decision support
    • Knowledge representation for healthcare processes
    • Mobile process and task support in healthcare

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • Computer Science (all)

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