Clariisa, a context-aware framework based on geolocation for a health care governance system

Abstract

Context-awareness has been successfully included in the mobile device applications due mainly to the presence of numerous sensors and the access to several communication networks. Therefore, this paper presents a context-aware framework based on geolocation for a health care governance system. While enabling remote health diagnosis of a patient using his/her own mobile device, the proposed system enriches the patient's health data with geolocation before sending it to the Lariisa framework, an intelligent platform to support decision-making in public health governance. In order to collect information about a patient's health status, the proposed application uses mobile devices equipped with medical sensors. While remotely registering a patient's health diagnosis using a mobile device, the system allows the creation of an enriched description of the user context (e.g. weather, location, and date). The main contributions related to our framework include patient health diagnosis provided remotely, support for decision-making health systems, and context information for context-aware health systems.