Definition of a Pervasive Architecture for a Central Monitoring of Homecare Systems

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Author(s): Giovani Rubert Librelotto (Universidade Federal de Santa Maria, Brazil), Leandro Oliveira Freitas (Universidade Federal de Santa Maria, Brazil), Ederson Bastiani (Federal Institute Farroupilha, Brazil), Cicero Ribeiro (Universidade Federal de Santa Maria, Brazil)and Samuel Vizzotto (Universidade Federal de Santa Maria, Brazil)
Copyright: 2019
Pages: 13
Source title: Healthcare Policy and Reform: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-6915-2.ch011

Keywords: Business Science Reference / Government & Law / Healthcare Administration / Policy & Reform

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Abstract

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 a service 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 kinds 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 architecture modeling of a pervasive system to be applied in homecare environments. The pervasive systems developed from this modeling 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 any- time and wherever the user is, once that a homecare environment has a high level of dynamicity. The knowledge representation of the homecare environment needed in the modeling 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.

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Definition of a Pervasive Architecture for a Central Monitoring of Homecare Systems

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