Geospatial model e-health planning collective intelligence
Abstract:
In developing countries, the public administrations responsible for the welfare of their citizens, have among their priorities the optimization of the supply of health services, since the growing demand for these associated with economic growth, required to obtain the maximum performance in the allocation of any resource material and/or human. Generally in Ecuador there is a lack of industry of their own to facilitate access to treatment and technology, making these basic inputs for the provision of health services, in resources of import, with increased costs and therefore limited. That is why to optimize the infrastructure planning and health resources, the combination knowledge - territory should play a decisive role in the allocation; of financial, technological and human resources. In this paper, we present a model of health planning of geospatial intelligence collective called "MPS-GIC", which aims to improve the spatial distribution of health services in Ecuador. The proposed model is developed through a geospatial system collective intelligence, this tool allows you to obtain geospatial patterns on the territorial distribution for the allocation of equipment, supplies, and health services in relation to the availability, accessibility and need of the population.
Año de publicación:
2016
Keywords:
- Delphi method
- Artificial Intelligence
- management
- e-Health planning
- Decision Support Systems
- Collective Intelligence
- Decision Making
Fuente:
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Tipo de documento:
Conference Object
Estado:
Acceso restringido
Áreas de conocimiento:
Áreas temáticas:
- Ciencias de la computación
- Otros problemas y servicios sociales
- Medicina y salud