Patient Centric Ontology for Telehealth Domain

Daniel Bjerring Jørgensen, Kasper Hallenborg, Yves Demazeau

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Abstrakt

This paper presents an ontology for the telehealth domain, a domain that concerns the use of telecommunication to support and deliver health related services e.g. patient monitoring and rehabilitative training. Our vision for the future of telehealth solutions is that they adapt their behavior to the needs, habits, and personality of the patient through user modeling and context awareness. The ontology will be our foundation for user modeling of patients in the telehealth domain, and hence it is one of the initial steps toward our vision. Compared to other ontologies within the domain, ours has explicit focus on: 1) personality traits of the patient, which is vital for fulfillment of our vision in term of adaptability, and 2) use of international standards to describe diseases, func-tioning and physiological measurement – ICD, ICF and SNOMED respectively – to promote interoperability with external systems. Besides being the foundation for user modeling, the ontology is a component in the Patient@home infra-structure, where it will ease the integration of applications to the platform, and facilitate semantic interoperability between the applications.
OriginalsprogEngelsk
TitelInclusive Smart Cities and e-Health : 13th International Conference On Smart homes and health Telematics (ICOST)
RedaktørerAntoine Geissbühler, Jacques Demongeot, Mounir Mokhtari, Bessam Abdulrazak, Hamdi Aloulou
ForlagSpringer
Publikationsdatojun. 2015
Sider244-255
Kapitel20
ISBN (Trykt)978-3-319-19311-3
ISBN (Elektronisk)978-3-319-19312-0
DOI
StatusUdgivet - jun. 2015
Begivenhed13th International Conference On Smart homes and health Telematics: Inclusive Smart Cities and e-Health - Geneva, Schweiz
Varighed: 10. jun. 201512. jun. 2015

Konference

Konference13th International Conference On Smart homes and health Telematics
Land/OmrådeSchweiz
ByGeneva
Periode10/06/201512/06/2015
NavnLecture Notes in Computer Science
Vol/bind 9102
ISSN0302-9743

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