Authors:
Vladimir Robles-Bykbaev
1
;
José J. Pazos-Arias
2
;
Martín López-Nores
2
;
Jorge García-Duque
2
and
Juan Ochoa-Zambrano
3
Affiliations:
1
Universidad Politécnica Salesiana, University of Vigo and AtlantTIC Research Center for Information and Communication Technologies, Ecuador
;
2
University of Vigo and AtlantTIC Research Center for Information and Communication Technologies, Spain
;
3
Universidad Politécnica Salesiana, Ecuador
Keyword(s):
Health Informatics, Speech and Language Therapy, Ontology, Archetypes.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Cloud Computing
;
Data Engineering
;
e-Health
;
Electronic Health Records and Standards
;
Enterprise Information Systems
;
Health Information Systems
;
Healthcare Management Systems
;
Human-Machine Interfaces for Disabled Persons
;
Information Systems Analysis and Specification
;
Knowledge Management
;
Ontologies and the Semantic Web
;
Platforms and Applications
;
Society, e-Business and e-Government
;
Web Information Systems and Technologies
Abstract:
Researchers in the area of health informatics have made significant progress in the standardization of ICT
tools to support the management, storage, retrieval and exchange of health-related data. However, the
adoption of these advances is largely uneven across different areas. We present a comprehensive knowledge
model for the realm of Speech and Language Therapy (SLT), based on an OWL ontology, normalized
vocabularies and OpenEHR constructs. This model, validated by several collaborating institutions, is being
used as the cornerstone to build a comprehensive framework with supporting tools for the different people
involved in SLT, including therapists, patients and their relatives, and students.