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The Conceptual MADE Framework for Pervasive and Knowledge-Based Decision Support in Telemedicine

Author

Listed:
  • Nick L. S. Fung

    (University of Twente, Enschede, Netherlands)

  • Valerie M. Jones

    (University of Twente, Enschede, Netherlands)

  • Ing Widya

    (University of Twente, Enschede, Netherlands)

  • Tom H. F. Broens

    (Academic Medical Center, Amsterdam, Netherlands)

  • Nekane Larburu

    (University of Twente, Enschede, Netherlands)

  • Richard G. A. Bults

    (University of Twente, Enschede, Netherlands)

  • Erez Shalom

    (Ben-Gurion University of the Negev, Beer-Sheva, Israel)

  • Hermie J. Hermens

    (Roessingh Research and Development, Enschede, Netherlands)

Abstract

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.

Suggested Citation

  • Nick L. S. Fung & Valerie M. Jones & Ing Widya & Tom H. F. Broens & Nekane Larburu & Richard G. A. Bults & Erez Shalom & Hermie J. Hermens, 2016. "The Conceptual MADE Framework for Pervasive and Knowledge-Based Decision Support in Telemedicine," International Journal of Knowledge and Systems Science (IJKSS), IGI Global, vol. 7(1), pages 25-39, January.
  • Handle: RePEc:igg:jkss00:v:7:y:2016:i:1:p:25-39
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