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Modelling domain knowledge of speech and language therapy with an OWL ontology and OpenEHR archetypes

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.