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

被引:2
|
作者
Fung, Nick L. S. [1 ]
Jones, Valerie M. [1 ]
Widya, Ing [1 ]
Broens, Tom H. F. [2 ]
Larburu, Nekane [1 ]
Bults, Richard G. A. [1 ]
Shalom, Erez [3 ]
Hermens, Hermie J. [4 ]
机构
[1] Univ Twente, Enschede, Netherlands
[2] Acad Med Ctr, Amsterdam, Netherlands
[3] Ben Gurion Univ Negev, Beer Sheva, Israel
[4] Roessingh Res & Dev, Enschede, Netherlands
关键词
Body Area Networks; Business Process Modelling; Clinical Decision Support; Clinical Guidelines; Distributed Systems; eHealth; Evidence-Based Medicine; Internet-of-Things; Knowledge-Based Systems;
D O I
10.4018/IJKSS.2016010102
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
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.
引用
下载
收藏
页数:15
相关论文
共 50 条
  • [21] A fuel distribution knowledge-based decision support system
    Nussbaum, M
    Sepulveda, M
    Cobian, A
    Gaete, J
    Parra, E
    Cruz, J
    OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 1997, 25 (02): : 225 - 234
  • [22] KNOWLEDGE-BASED DECISION SUPPORT FOR PATIENT MONITORING IN CARDIOANESTHESIA
    SCHECKE, T
    LANGEN, M
    POPP, HJ
    RAU, G
    KASMACHER, H
    KALFF, G
    INTERNATIONAL JOURNAL OF CLINICAL MONITORING AND COMPUTING, 1992, 9 (01): : 1 - 11
  • [23] Confluence™: Knowledge-Based Decision Support In Complex Missions
    De, Piali
    Jennings, Daniel
    Sperry, David
    2009 IEEE CONFERENCE ON TECHNOLOGIES FOR HOMELAND SECURITY, 2009, : 553 - 560
  • [24] Road Safety Knowledge-Based Decision Support System
    Dell'Acqua, Gianluca
    De Luca, Mario
    Mauro, Raffaele
    STATE OF THE ART IN THE EUROPEAN QUANTITATIVE ORIENTED TRANSPORTATION AND LOGISTICS RESEARCH, 2011: 14TH EURO WORKING GROUP ON TRANSPORTATION & 26TH MINI EURO CONFERENCE & 1ST EUROPEAN SCIENTIFIC CONFERENCE ON AIR TRANSPORT, 2011, 20
  • [25] Knowledge-based multi-criteria decision support
    Zopounidis, Constantin
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2009, 195 (03) : 827 - 828
  • [26] KNOWLEDGE-BASED APPROACH TO MODULAR CONSTRUCTION DECISION SUPPORT
    MURTAZA, MB
    FISHER, DJ
    SKIBNIEWSKI, MJ
    JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT-ASCE, 1993, 119 (01): : 115 - 130
  • [27] KNOWLEDGE-BASED DECISION SUPPORT IN BUSINESS - ISSUES AND A SOLUTION
    DHAR, V
    CROKER, A
    IEEE EXPERT-INTELLIGENT SYSTEMS & THEIR APPLICATIONS, 1988, 3 (01): : 53 - 62
  • [29] Knowledge-based decision support system for site selecting
    School of Resources and Environment Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
    不详
    不详
    Geomatics Inf. Sci. Wuhan Univ., 2008, 2 (149-152): : 149 - 152
  • [30] Knowledge-based decision support for the improvement of standard products
    Abramovici, Michael
    Lindner, Andreas
    CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2013, 62 (01) : 159 - 162