An Enhanced Architecture for LARIISA: An Intelligent System for Decision Making and Service Provision for e-Health using the cloud

Abstract : Health care services can be scarce and expensive in some countries and especially in isolated regions. The lack of information can degrade health care services, for example, by ineffective resource allocation or failure in epidemiological prediction. This paper proposes an architecture for system of decision making and service provisioning in the health care context. It encompasses and integrates data produced by environmental sensors installed in the assisted homes, medical data sets, domain-specific and semantic enriched data sets, and all data generated and collected in applications installed on mobile phones, wearable devices, desktops, web servers, and smart television. LARIISA architecture is presented as a platform to manage, provide and launch services that monitor and analyze data to supply relevant information to decision makers and health care actors that participate in the health care supply chain.
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Thiago Moreira da Costa, Elie Rachkidi, Nazim Agoulmine, Leonardo Gardini, Reinaldo Braga, et al.. An Enhanced Architecture for LARIISA: An Intelligent System for Decision Making and Service Provision for e-Health using the cloud. 4th International Workshop on ADVANCEs in ICT INfrastructures and Services (ADVANCE 2015), Dec 2015, Recife, Brazil. pp.21--26. ⟨hal-01775206⟩

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