Modelling Domain Knowledge of Speech and Language Therapy with an OWL Ontology and OpenEHR Archetypes
Vladimir Robles-Bykbaev, José J. Pazos-Arias, Martín López-Nores, Jorge García-Duque, Juan Ochoa-Zambrano
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.
References
- American Speech-Language-Hearing Association (ASHA), 2014. International Classification of Diseases, Tenth Revision - Clinical Modification, Related to Speech, Language, and Swallowing Disorders. (ICD_10_CM).
- Bacelar-Silva, G. M., Cesar, H., Braga, P., and Guimaraes, R., 2013. OpenEHR-based pervasive health information system for primary care: First Brazilian Experience for Public Care. In Computer-Based Medical Systems (CBMS), 2013 IEEE 26th International Symposium on, pp. 572-873. IEEE.
- Kallel, F., Ellouze, A. S., and Bouaziz, R., 2011. Generating Context-Awarness Interface for Medical Applications. In Developments in E-systems Engineering (DeSE), 2011, pp. 105-110. IEEE.
- Lezcano, L., Sicilia, M. A., and Rodríguez-Solano, C., 2011. Integrating reasoning and clinical archetypes using OWL ontologies and SWRL rules. In Journal of biomedical informatics, vol. 44, no. 2, pp. 343-353.
- Martín Ruiz, M. L., Valero Duboy, M. Á., Torcal Loriente, C., and Pau de la Cruz, I., 2014. Evaluating a Web-Based Clinical Decision Support System for Language Disorders Screening in a Nursery School. In Journal of medical Internet research, vol. 16.
- National Institute of Deafness and Other Communication Disorders (NIDCD), 2014. Statistics on Voice, Speech and Language.
- Riaño, David, and et al., 2012. An ontology-based personalization of health-care knowledge to support clinical decisions for chronically ill patients. In Journal of biomedical informatics, vol. 45, no 3.
- Rubi, R., Pastor, X. and Lozano, E., 2014. OWLing Clinical Data Repositories With the Ontology Web Language. In JMIR Medical Informatics, vol. 2, no 2.
- Sharma, S., Ward, E. C., Burns, C., Theodoros, D., and Russell, T., 2013. Assessing dysphagia via telerehabilitation: Patient perceptions and satisfaction. In International journal of speech-language pathology, vol. 15, pp. 176-183.
- Schipor, O. A., Pentiuc, S. G. and Schipor, M. D., 2012. Automatic Assessment of Pronunciation Quality of Children within Assisted Speech Therapy. In Electronics & Electrical Engineering, pp. 15-18.
- Vieira-Marques, P., Patriarca-Almeida, J., Frade, S., Bacelar-Silva, G., Robles, S., and Cruz-Correia, R., 2014. OpenEHR aware multi agent system for interinstitutional health data integration. In Information Systems and Technologies (CISTI), 2014 9th Iberian Conference on, pp. 1-6. IEEE.
- Ward, E. C., Burns, C. L., Theodoros, D. G., and Russell, T. G., 2014. Impact of dysphagia severity on clinical decision making via telerehabilitation. In Telemedicine and e-Health.
- World Health Organization (WHO) and World Bank, 2011. World Report on Disability, Malta: WHO Press.
Paper Citation
in Harvard Style
Robles-Bykbaev V., Pazos-Arias J., López-Nores M., García-Duque J. and Ochoa-Zambrano J. (2015). Modelling Domain Knowledge of Speech and Language Therapy with an OWL Ontology and OpenEHR Archetypes . In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2015) ISBN 978-989-758-068-0, pages 585-591. DOI: 10.5220/0005279405850591
in Bibtex Style
@conference{healthinf15,
author={Vladimir Robles-Bykbaev and José J. Pazos-Arias and Martín López-Nores and Jorge García-Duque and Juan Ochoa-Zambrano},
title={Modelling Domain Knowledge of Speech and Language Therapy with an OWL Ontology and OpenEHR Archetypes },
booktitle={Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2015)},
year={2015},
pages={585-591},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005279405850591},
isbn={978-989-758-068-0},
}
in EndNote Style
TY - CONF
JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2015)
TI - Modelling Domain Knowledge of Speech and Language Therapy with an OWL Ontology and OpenEHR Archetypes
SN - 978-989-758-068-0
AU - Robles-Bykbaev V.
AU - Pazos-Arias J.
AU - López-Nores M.
AU - García-Duque J.
AU - Ochoa-Zambrano J.
PY - 2015
SP - 585
EP - 591
DO - 10.5220/0005279405850591