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Using conceptual graphs for clinical guidelines representation and knowledge visualization

Author

Listed:
  • Bernard Kamsu-Foguem

    (ENIT-INPT University of Toulouse)

  • Germaine Tchuenté-Foguem

    (University of Lille - North of France
    University of Yaoundé I)

  • Clovis Foguem

    (Center for Food and Taste sciences (CSGA) - UMR 6265 CNRS – UMR 1324 INRA - University of Burgundy)

Abstract

The intrinsic complexity of the medical domain requires the building of some tools to assist the clinician and improve the patient’s health care. Clinical practice guidelines and protocols (CGPs) are documents with the aim of guiding decisions and criteria in specific areas of healthcare and they have been represented using several languages, but these are difficult to understand without a formal background. This paper uses conceptual graph formalism to represent CGPs. The originality here is the use of a graph-based approach in which reasoning is based on graph-theory operations to support sound logical reasoning in a visual manner. It allows users to have a maximal understanding and control over each step of the knowledge reasoning process in the CGPs exploitation. The application example concentrates on a protocol for the management of adult patients with hyperosmolar hyperglycemic state in the Intensive Care Unit.

Suggested Citation

  • Bernard Kamsu-Foguem & Germaine Tchuenté-Foguem & Clovis Foguem, 2014. "Using conceptual graphs for clinical guidelines representation and knowledge visualization," Information Systems Frontiers, Springer, vol. 16(4), pages 571-589, September.
    • Handle: RePEc:spr:infosf:v:16:y:2014:i:4:d:10.1007_s10796-012-9360-2
    DOI: 10.1007/s10796-012-9360-2
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    Cited by:

    1. Steven Mertens & Frederik Gailly & Diederik Sassenbroeck & Geert Poels, 2022. "Integrated Declarative Process and Decision Discovery of the Emergency Care Process," Information Systems Frontiers, Springer, vol. 24(1), pages 305-327, February.
    2. Yukun Guo & Jun Zhu & Jigang You & Saied Pirasteh & Weilian Li & Jianlin Wu & Jianbo Lai & Pei Dang, 2023. "A dynamic visualization based on conceptual graphs to capture the knowledge for disaster education on floods," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 119(1), pages 203-220, October.

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