Applying Ontology and Context Awareness Concepts on Health Management System: a Dengue Crisis Study Case

This work presents the prototype of the LARIISA, a context-aware framework that makes use of intelligent mechanisms for helping decision-making on health management system. It allows the implementation of ontologies reflecting different levels of public health (e.g. state-wide, locality-wide, etc.) mirroring LARIISA’s Local and Global semantic model. The prototype collects context-aware information about the family health by using LISA LARIISA Integration System a highly expansible system that aims at facilitating the inclusion and exclusion of context providers. It uses SISA, a health management application able to perceive the status of emergency epidemiological and adapt itself in real time to a risk situation. This way, the LARIISA prototype can direct the health care worker to verify and troubleshoot an epidemiological problem or detect new outbreaks of dengue, for example. The epidemiological map visualized by the health managers (doctors, secretaries of health, state government, etc.) can contribute to decision-making in a fast and efficient manner.