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Design of an ontology-based triage system for painful patients


Objective: Waiting time for a consultation for chronic pain is a widespread health problem. This paper present the design of an ontology use to assess patients referred to a consultation for chronic pain. Methods: We designed OntoDol, an ontology of pain domain for patient triage based on priority degrees. Terms were extracted from clinical practice guidelines and mapped to SNOMED-CT concepts through the Python module Owlready2. Selected SNOMED-CT concepts, relationships, and the TIME ontology, were implemented in the ontology using Protégé. Decision rules were implemented with SWRL. We evaluated OntoDol on 5 virtual cases. Results: OntoDol contains 762 classes, 92 object properties and 18 SWRL rules to assign patients to 4 categories of priority. OntoDol was able to assert every case and classify them in the right category of priority. Conclusion: Further works will extend OntoDol to other diseases and assess OntoDol with real world data from the hospital.
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hal-03694355 , version 1 (13-06-2022)



Alexandre Saadi, Alice Rogier, Anita Burgun, Rosy Tsopra. Design of an ontology-based triage system for painful patients. MEDINFO 2021: One World, One Health – Global Partnership for Digital Innovation, 290, IOS Press; IOS Press, pp.81-85, 2022, Studies in Health Technology and Informatics, ⟨10.3233/SHTI220036⟩. ⟨hal-03694355⟩
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