Modelling domain knowledge of Speech and Language Therapy with an OWL ontology and OpenEHR archetypes

BibTex:
Áreas de investigación:	Sin categoría	Año:	2015
Tipo de publicación:	Artículo en conferencia	Palabras clave:	Speech and language therapy; domain modelling; ontologies; OpenEHR
Autores:	16, 2 8

Título del libro:	8th International Conference on Health Informatics (HEALTHINF)

Dirección:	Lisbon, Portugal
Organización:	INSTICC	Mes:	Enero


@conference{162015, author = "16,8,2,12", 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.", address = "Lisbon, Portugal", booktitle = "8th International Conference on Health Informatics (HEALTHINF)", keywords = "Speech and language therapy; domain modelling; ontologies; OpenEHR", month = "jan", organization = "INSTICC", publisher = "INSTICC", title = "{M}odelling domain knowledge of {S}peech and {L}anguage {T}herapy with an {OWL} ontology and {O}pen{EHR} archetypes", year = "2015", }
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.

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