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Decision support system for in-flight emergency events

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Abstract

Medical problems during flight have become an important issue as the number of passengers and miles flown continues to increase. The case of an incident in the plane falls within the scope of the healthcare management in the context of scarce resources associated with isolation of medical actors working in very complex conditions, both in terms of human and material resources. Telemedicine uses information and communication technologies to provide remote and flexible medical services, especially for geographically isolated people. Therefore, telemedicine can generate interesting solutions to the medical problems during flight. Our aim is to build a knowledge-based system able to help health professionals or staff members addressing an urgent situation by given them relevant information, some knowledge, and some judicious advice. In this context, knowledge representation and reasoning can be correctly realized using an ontology that is a representation of concepts, their attributes, and the relationships between them in a particular domain. Particularly, a medical ontology is a formal representation of a vocabulary related to a specific health domain. We propose a new approach to explain the arrangement of different ontological models (task ontology, inference ontology, and domain ontology), which are useful for monitoring remote medical activities and generating required information. These layers of ontologies facilitate the semantic modeling and structuring of health information. The incorporation of existing ontologies [for instance, Systematic Nomenclature Medical Clinical Terms (SNOMED CT)] guarantees improved health concept coverage with experienced knowledge. The proposal comprises conceptual means to generate substantial reasoning and relevant knowledge supporting telemedicine activities during the management of a medical incident and its characterization in the context of air travel. The considered modeling framework is sufficiently generic to cover complex medical situations for isolated and vulnerable populations needing some care and support services.

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Authors and Affiliations

  1. Toulouse INP-ENIT, Université de Toulouse, Laboratoire Génie de Production, Ecole Nationale d’Ingénieurs de Tarbes, Université de Toulouse, 47 Avenue Azereix, BP 1629, 65016, Tarbes Cedex, France

    Alsane Sene & Bernard Kamsu-Foguem

  2. Toulouse Paul Sabatier University, Laboratoire de Gérontechnologie La Grave CHUToulouse/Gérontopôle/UMR1027 Inserm, Université de Toulouse 3, Toulouse, France

    Alsane Sene & Pierre Rumeau

Authors
  1. Alsane Sene
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  2. Bernard Kamsu-Foguem
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  3. Pierre Rumeau
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Contributions

AS contributed to literature search and review, manuscript writing, and study conception and design. BKF contributed to analysis and interpretation of information, knowledge verification and enrichment. PR drafted and critically revised the manuscript.

Corresponding author

Correspondence to Bernard Kamsu-Foguem.

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Sene, A., Kamsu-Foguem, B. & Rumeau, P. Decision support system for in-flight emergency events. Cogn Tech Work 20, 245–266 (2018). https://doi.org/10.1007/s10111-018-0466-2

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