2 resultados para Health insurance agents.

em Universidad Politécnica de Madrid


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Millennium Development Goals point out the necessity of actively promoting maternal-child health care status, especially in underserved areas. This article details the development actions carried out between 2008 and 2011 in some rural communities of Nicaragua with the aim to provide a low-cost tele-health communication service. The service is managed by the health care center of Cusmapa, which leads the program and maintains a communication link between its health staff and the health brigades of 26 distant communities. Local agents can use the system to report urgent maternal-child health care episodes to be assessed through WiMAX-WiFi voice and data communications attended by two physicians and six nurses located at the health care center. The health and nutritional status of the maternal-child population can be monitored to prevent diseases, subnutrition, and deaths. The action approach assumes the fundamentals of appropriate technology and looks for community- based, sustainable, replicable, and scalable solutions to ensure future deployments according to the strategies of the United Nations.

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The deployment of home-based smart health services requires effective and reliable systems for personal and environmental data management. ooperation between Home Area Networks (HAN) and Body Area Networks (BAN) can provide smart systems with ad hoc reasoning information to support health care. This paper details the implementation of an architecture that integrates BAN, HAN and intelligent agents to manage physiological and environmental data to proactively detect risk situations at the digital home. The system monitors dynamic situations and timely adjusts its behavior to detect user risks concerning to health. Thus, this work provides a reasoning framework to infer appropriate solutions in cases of health risk episodes. Proposed smart health monitoring approach integrates complex reasoning according to home environment, user profile and physiological parameters defined by a scalable ontology. As a result, health care demands can be detected to activate adequate internal mechanisms and report public health services for requested actions.