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 and Hermie J. Hermens
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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

International Journal of Knowledge and Systems Science (IJKSS), 2016, vol. 7, issue 1, 25-39

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.

Date: 2016
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