Social simulation for optimizing policies of medical emergency services

• Autor(a) principal: Calado, Mateus Padoca
• Data de Publicação: 2018
• Outros Autores: Antunes, Luis
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: https://doi.org/10.34627/rcc.v7i0.88

Often, public policies that have been issued can only be evaluated after they have been implemented. The prior simulation of these policies has several benefits: the design can be adjusted more accurately to the objectives of the policy makers; the policies can better reflect the motivations of the individuals involved in several roles (users, doctors, nurses, civil servants, auditors, policy makers); the micro-macro connections and the mediations are represented explicitly; the simulation may allow the successive improvement of the policies, in such a way that they are improved upon implementation; the decision makers and stakeholders may know better the territory of decision to better respond in situations of contingency. We support the simulation based on multi-agents as a form of orienting the specification of policies. The multi-agent systems allow for the representation of heterogeneous rational agents and provide an approach to create complex dynamic models of social phenomena. This paper describes how we can tackle the problem of optimization of the policies of emergency medical services, when there is a clear distinction between the design of these policies and the use that people give them. It presents the scenario and a model for the simulation, identifying the actors involved, the connections and relationships between them, the measures needed to evaluate the multi-dimensional results of the simulation and how the policies can fine-tuned and simulated before they are implemented in the real world.