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Design of an Ontology-Based Triage System for Patients with Chronic Pain
Alexandre Saadi, Alice Rogier, Anita Burgun, Rosy Tsopra
81 - 85
10.3233/SHTI220036
Research Article
Studies in Health Technology and Informatics
Volume 290: MEDINFO 2021: One World, One Health – Global Partnership for Digital Innovation
Abstract

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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