The conceptual MADE framework for pervasive and knowledge-based decision support in telemedicine

Nick L.S. Fung, Valerie M. Jones, Ing Widya, Tom H.F. Broens, Nekane Larburu, Richard G.A. Bults, Erez Shalom, Hermie J. Hermens

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    Telemedicine systems are inherently distributed, but, especially in the context of the Internet-of-Things, their complete physical configuration may only be determined after design time by considering, for example, the individual patient's needs. Therefore, to enable pervasive and knowledge-based decision support to be provided in telemedicine, a conceptual framework was developed for modelling and executing clinical knowledge as networks of four types of concurrent processes: Monitoring (M), Analysis (A), Decision (D) and Effectuation (E). In this way, the required decision support functionality can, as presented in this article, be distributed at run-time by mapping different portions of the knowledge across the devices constituting the system. This MADE framework was applied to model a clinical guideline for gestational diabetes mellitus and to derive a prototype knowledge-based system that executes the resulting MADE network. Thus it is shown to support the full development trajectory of a telemedicine system, including analysis, design and implementation.
    Original languageEnglish
    Pages (from-to)25-39
    Number of pages15
    JournalInternational journal of knowledge and systems science
    Issue number1
    Publication statusPublished - 2016


    • BSS-Technology supported cognitive training
    • Internet of Things (IoT)
    • EHealth
    • Knowledge based systems
    • Clinical guidelines
    • Business Process Modelling
    • Body Area Networks
    • Evidence-based medicine
    • Distributed systems
    • Clinical Decision Support


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