Browsing by Author "Montenegro López, Hamilton Vinicio"

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    "Modelo cuantitativo para la localización de ambulancias de gestión sanitaria y su impacto en los tiempos de arribo, coordinadas por el Centro Local ECU911 Macas dentro de la provincia de Morona Santiago"
    (Universidad Técnica de Ambato. Facultad de Ciencias Administrativas. Maestría en Gestión Empresarial basado en Métodos Cuantitativos, 2017) Montenegro López, Hamilton Vinicio; Valencia Nuñez, Edison Roberto
    The treatment of health care emergencies, involves a chain of quantifiable processes, in this context, the present research work is oriented to propose a quantitative methodological tool, which seeks to determine the best scenarios in order to obtain an improvement in response times in the care of the Pre-hospital service. Within prehospital care services, the issue of transportation plays a very important role in the comprehensive management of medical emergencies, so determining the appropriate geographic location from which the response ambulances will respond to the demand can influence the time of arrival of the resource. Determining the best location of ambulances for health management can be a complex task, given the large number of variables involved in this decision making, as well as the financial costs involved in geographically relocating empirically. So, the proposed model seeks to provide decision makers with quantitative probabilistic technical tools that allow experimental results to be minimized, minimizing implementation costs. The proposed model mainly operates variables of demand and availability of resources based on their probability distribution, which, through Monte Carlo simulations, will determine the impact on the time of arrival of the resource, based on the matrices of transfer times, from the points of greatest density of the demand of the circuits studied, to the points of supply of ambulances of the prehospital service deployed in the province. The contrast of the changes obtained by the variations of the ambulance locations with the times of the control group are analyzed by means of statistical tests to determine the significance of these variations with reference to the data of the experimental group.