Design of an Ontology-Based Triage System for Patients with Chronic Pain.
In: Studies in health technology and informatics, Jg. 290 (2022-06-06), S. 81-85
academicJournal
Zugriff:
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.
Titel: |
Design of an Ontology-Based Triage System for Patients with Chronic Pain.
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Autor/in / Beteiligte Person: | Saadi, A ; Rogier, A ; Burgun, A ; Tsopra, R |
Zeitschrift: | Studies in health technology and informatics, Jg. 290 (2022-06-06), S. 81-85 |
Veröffentlichung: | Amsterdam ; Washington, DC : IOS Press, 1991-, 2022 |
Medientyp: | academicJournal |
ISSN: | 1879-8365 (electronic) |
DOI: | 10.3233/SHTI220036 |
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