Uma metodologia para assistir pacientes em ambientes homecare pervasivos

• Ano de defesa: 2011
• Autor(a) principal: Freitas, Leandro Oliveira
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Santa Maria; BR; Ciência da Computação; UFSM; Programa de Pós-Graduação em Informática
• Palavras-chave em Português: Computação ubíqua; Computação pervasiva; Ontologias; Homecare; Ubiquitous computing; Pervasive computing; Ontologies; CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
• Link de acesso: http://repositorio.ufsm.br/handle/1/5385

Every year the queues in hospitals publics and privates grows due to, among others, the increasing of the world population and the delay in the patients service. This is a serious problem faced by administrators of hospitals which believe that it is increasingly difficult to offer services of quality to those who search for them. One of the ways to decrease these queues is through the development of homecare systems that allow the patient to receive the clinic treatment directly in his house. The development of these kind of systems would help to decrease the queues and consequently, would improve the attendance of those who goes to the hospitals looking for assistance. Considering this, this work has as main purpose to present the modelling of an architecture of a pervasive system to be applied in homecare environments. The pervasive systems developed from this modelling aim to improve the services provided by healthcare professionals in the treatment of patients that are located in their houses. The architecture proposed by the methodology uses concepts of pervasive computing to provide access to information anytime and wherever the user is, once that a homecare environment has a high level of dynamicity of the envolved. The knowledge representation of the homecare environment needed in the modelling of the architecture is made through ontologies due to the possibility of reuse of the information stored, as well as the interoperability of information among different computational devices. To validate the proposed methodology, we present two use cases, which are also used to demonstrate the workflow of the pervasive system of homecare.