RESUMO
La Evaluación Económica representa un marco para la asignación de recursos sanitarios en un contexto de recursos limitados e incremento de la demanda. Tiene un papel clave en el proceso de toma de decisiones. Es por esta razón que el objetivo de este trabajo consiste en valorar el uso de las evaluaciones económicas en el sistema de salud cubano (AU).
The economical assessment is a frame for the assignment of economical resources in a context of limited resources and demand increase. It plays a key role in the decisionmaking process. For this reason, the aim of this work is evaluating the usage of the economical assessment in the Cuban health system (AU).
Assuntos
Humanos , Masculino , Feminino , Economia e Organizações de Saúde , Avaliação em Saúde/métodos , Avaliação em Saúde/normas , Tomada de Decisões , Consórcios de Saúde , OHSAS 18000/economia , OHSAS 18000/métodos , OHSAS 18000/políticas , Política de SaúdeRESUMO
La Evaluación Económica representa un marco para la asignación de recursos sanitarios en un contexto de recursos limitados e incremento de la demanda. Tiene un papel clave en el proceso de toma de decisiones. Es por esta razón que el objetivo de este trabajo consiste en valorar el uso de las evaluaciones económicas en el sistema de salud cubano (AU).
The economical assessment is a frame for the assignment of economical resources in a context of limited resources and demand increase. It plays a key role in the decisionmaking process. For this reason, the aim of this work is evaluating the usage of the economical assessment in the Cuban health system (AU).
Assuntos
Humanos , Masculino , Feminino , Avaliação em Saúde/métodos , Avaliação em Saúde/normas , Tomada de Decisões , Consórcios de Saúde , OHSAS 18000/economia , OHSAS 18000/métodos , OHSAS 18000/políticas , Política de SaúdeRESUMO
Implementing anaerobic digestion (AD) in energy production from crop residues requires development of decision tools to assess its feasibility and sustainability. A spatial decision support system (SDSS) was constructed to assist decision makers to select appropriate feedstock according to biomethanation potential, identify the most suitable location for biogas facilities, determine optimum plant capacity and supply chain, and evaluate associated risks and costs. SDSS involves a spatially explicit analysis, fuzzy multi-criteria analysis, and statistical and optimization models. The tool was validated on seven crop residues located in Santander, Colombia. For example, fique bagasse generates about 0.21millionm(3)CH4year(-1) (0.329m(3)CH4kg(-1) volatile solids) with a minimum profitable plant of about 2000tonyear(-1) and an internal rate of return of 10.5%. SDSS can be applied to evaluate other biomass resources, availability periods, and co-digestion potential.