Task-based modelling of the triage domain knowledge
Triage is a decision-making process that classifies incoming patients for presentational urgency in Emergency Departments (EDs). There are issues with triage reliability in EDs, which we can be resolved through uniform application of a robust triage scale. However, the complex robust triaging knowle...
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2023
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my.uniten.dspace-220212023-05-16T10:46:43Z Task-based modelling of the triage domain knowledge Annamalai M. Halim S.A. Ahmad R. Ahmad M.S. 36138644000 30267642600 56486883600 56036880900 Triage is a decision-making process that classifies incoming patients for presentational urgency in Emergency Departments (EDs). There are issues with triage reliability in EDs, which we can be resolved through uniform application of a robust triage scale. However, the complex robust triaging knowledge is not easy to understand or recalled for timely decision-making. Therefore, we suggest the development of a knowledge-based triage decision support system to help triage officers to make correct and consistent triage decisions. Consequently, we pursued knowledge engineering to construct the models of the knowledge in order to make explicit the conceptualisation of the assumptions and constraints in triage decision-making. We regard task as a rationale basis for modelling the purposive domain knowledge. Consequently, the paper discusses the modelling of the domain knowledge to support the triage decision-making task. The triage decision-making task model is presented in a complementary paper. Together, the knowledge models can be viewed as meta models that provide the conceptual guiding principles for the consequent design of the triage decision support system. © Springer International Publishing Switzerland 2014. Final 2023-05-16T02:46:43Z 2023-05-16T02:46:43Z 2014 Conference Paper 10.1007/978-3-319-01857-7_46 2-s2.0-84916221595 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84916221595&doi=10.1007%2f978-3-319-01857-7_46&partnerID=40&md5=ea543ddd74a42f9ea2cd0ad347851032 https://irepository.uniten.edu.my/handle/123456789/22021 240 473 482 Springer Verlag Scopus |
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Triage is a decision-making process that classifies incoming patients for presentational urgency in Emergency Departments (EDs). There are issues with triage reliability in EDs, which we can be resolved through uniform application of a robust triage scale. However, the complex robust triaging knowledge is not easy to understand or recalled for timely decision-making. Therefore, we suggest the development of a knowledge-based triage decision support system to help triage officers to make correct and consistent triage decisions. Consequently, we pursued knowledge engineering to construct the models of the knowledge in order to make explicit the conceptualisation of the assumptions and constraints in triage decision-making. We regard task as a rationale basis for modelling the purposive domain knowledge. Consequently, the paper discusses the modelling of the domain knowledge to support the triage decision-making task. The triage decision-making task model is presented in a complementary paper. Together, the knowledge models can be viewed as meta models that provide the conceptual guiding principles for the consequent design of the triage decision support system. © Springer International Publishing Switzerland 2014. |
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36138644000 |
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36138644000 Annamalai M. Halim S.A. Ahmad R. Ahmad M.S. |
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Conference Paper |
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Annamalai M. Halim S.A. Ahmad R. Ahmad M.S. |
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Annamalai M. Halim S.A. Ahmad R. Ahmad M.S. Task-based modelling of the triage domain knowledge |
author_sort |
Annamalai M. |
title |
Task-based modelling of the triage domain knowledge |
title_short |
Task-based modelling of the triage domain knowledge |
title_full |
Task-based modelling of the triage domain knowledge |
title_fullStr |
Task-based modelling of the triage domain knowledge |
title_full_unstemmed |
Task-based modelling of the triage domain knowledge |
title_sort |
task-based modelling of the triage domain knowledge |
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Springer Verlag |
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2023 |
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1806426021925224448 |
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