Multiobjective Optimization of Public Health Service Delivery Networks

Abstract

Providing an effective health service as a state is equivalent to giving life. Health services, whose pillar is to optimize the supply chain with public policies based on equity, are equal to providing life. Identifying all the variables and characteristics of the services allows the development of a multiobjective model to represent a public health services network. A case of the National Public Network of Colombia has been analyzed, minimizing costs and contributing to the decision making process. In this paper, a multiobjective approach to optimize the National Public Network in Colombia has been proposed. The proposed scheme combines mathematical techniques with managerial aspects related to public network health. Thus, we identify the distribution of services by the municipality to minimize the total cost and maximize coverage. The opening of services is suggested according to the demanding complexity and transport of patients between institutions. The results contrast with the current hospital services of Valle del Cauca in Colombia. The proposed scheme results show a reduction in the transfer of patients with a minimum increase in the costs of hospital services. The service proposal is based on improving access and quality in the provision of services, avoiding du- plication of supply, and generating an impact on the sustainability of the network of Valle del Cauca.

Keywords

• multiobjective optimization
• hospital network system
• epsilon constraints
• health services