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Design of an Ontology-Based Triage System for Patients with Chronic Pain.
Saadi, Alexandre; Rogier, Alice; Burgun, Anita; Tsopra, Rosy.
Afiliación
  • Saadi A; INSERM, Université de Paris, Sorbonne Université, Centre de Recherche des Cordeliers, F-75006 Paris, France.
  • Rogier A; Department of Evaluation and Treatment of Pain, Hôpital Européen Georges-Pompidou, AP-HP, Paris, France.
  • Burgun A; INRIA, HeKA, Inria Paris, France.
  • Tsopra R; INSERM, Université de Paris, Sorbonne Université, Centre de Recherche des Cordeliers, F-75006 Paris, France.
Stud Health Technol Inform ; 290: 81-85, 2022 Jun 06.
Article en En | MEDLINE | ID: mdl-35672975
OBJECTIVE: Waiting time for a consultation for chronic pain is a widespread health problem. This paper presents 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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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Triaje / Dolor Crónico Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies Límite: Humans Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2022 Tipo del documento: Article País de afiliación: Francia Pais de publicación: Países Bajos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Triaje / Dolor Crónico Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies Límite: Humans Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2022 Tipo del documento: Article País de afiliación: Francia Pais de publicación: Países Bajos