Agent-Based Model as a Provider of Medical Services in Tijuana Mexico

Abstract

The search for medical services to maintain family health remains a difficult goal to achieve because in addition family budget constraint is presented to desire to access the best possible medical services. The purpose of this paper is to present a model based on agents that analyzes a series of symptoms and sufferings, the results of this analysis allow provides a preliminary diagnosis of a patient. This model can be listing best options for medical service providers in Tijuana, Baja California, Mexico to prevent the erroneous self-diagnosis in the population of scarce resources. The model can help to create simulations of patient symptoms using computational tools and can predict in real time results with possible options of medical services to be attended. The model contains three main agents: Patient Agent, Medical Services Provider Agent and Content Medical Service Agent, the interaction of these agents supported by their Knowledge Base allow a finite and specialized search of suppliers in the health area. The use of agent-based models can reduce emerging costs derived from tests and errors in the real world.