Development and evaluation of ontology for intelligent decision support in medical emergency management for mass gatherings
Conducting a safe and successful major event highly depends on the effective provision of medical emergency services that are often offered by different public and private agencies. Poor communication and coordination between these agencies and teams can result in delays in decision-making and duplication of efforts. Another related issue is that emergency decisions are usually made based on individual experience and domain knowledge of relevant managerial personnel. For sustainable knowledge management and more intelligent decision support it is beneficial to collect, consolidate, store and share these experiences in a form of a knowledge base or domain ontology. State-of-the-art surveys identify this gap that there is no common ontology describing the domain knowledge for planning and managing medical services in mass gatherings. Part of the reason is that the process of construction of such an ontology is not a trivial task. In this paper, we describe the process of developing and evaluating a Domain Ontology for Mass Gatherings (DO4MG) with a focus on medical emergency management. As part of the evaluation, we illustrate the application of DO4MG for implementing a case-based reasoning decision support for emergency medical management in mass gatherings. Such an implementation demonstrates the potential of using ontology for resolving terminology inconsistencies and their usefulness for supporting communication between medical emergency personnel in mass gatherings. We also illustrate how this ontology can be applied to different stages of medical emergency management as part of a system architecture. The lessons learnt from building DO4MG for this domain could be beneficial in general to the theory and practice of intelligent decision support and knowledge management in complex problem domains.
Criteria-based evaluation of DO4MGClarity, Consistency/coherence, Conciseness, Expendability/extendibility, Correctness, Minimal ontological commitment, Completeness
Literature reviewFocus groups
Selection criteria for the ontology evaluation approaches are described. (Tble 2, pg 1197)
Systematic literature review, analysis and synthesis of existing methods of ontology construction (to select the method to evaluate the ontology)Focus group with experts. (to evaluate the ontology)These include the process of empirical testing of the evaluation methodwith the domain expertswe describe an ontology-based system architecture formedical emergency management in mass gatherings that incorporatesthe DO4MG ontology, which illustrates effectiveness of theproposed approach for ontology construction and evaluation
Literature review – how performed - n.a..Evaluation of ontology with focus group:First the facilitator presented an overview of DO4MG ontology to theparticipants. Then he showed them every main concept of the ontology and its subclasses and collected feedback. Every ontology concept, its subclasses, and the relationships between them were discussed and suggested changes were recorded. This included deletion of some concepts and addition of new concepts.
Goal:In this paper, we describe the process of developing and evaluating a Domain Ontology for Mass Gatherings (DO4MG) with a focus on medical emergency management. As part of the evaluation, we illustrate the application ofDO4MG for implementing a case-based reasoning decision support for emergency medical management in mass gatherings.
Despite an increasing number of ontologies, there is still no generic agreement on how they can be constructed in the most efficient way to facilitate better knowledge management and decision-making.its usefulness to increase the efficiency of communication between emergency medical personnel in mass gatherings.intend to target mobile applications and implement ontology-based decisions support for MEM in mass gatherings that can operate on mobile devices as extension to the proposed approach
Result of ontology evaluation approachesThey present an overview of ontology evaluation approaches (pg 1196). The review demonstrates that ‘there is no one approach which will perfectly fit all the objectives of ontology evaluation, hence it is often the case that a combination of the above or their variation is used.’ Pg1197. Based on this overview they selected two approaches for the evaluation of DO4MG. These are • Criteria-based evaluation; and• Application-based evaluation.Results of evaluation of ontologyAs part of the validation, we illustrated the application of the DO4MG for implementation of a cased-based reasoning decision support for medicalemergency management in mass gatherings.
We describe the application of the ontology within the overall mass gatheringmanagement as an integral part of knowledge management for runninga safe event [19]. An example of a case-based reasoning (CBR)intelligent decision support implementation of this architecture isalso presented. (pg 1193)
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