Optimization of Healthcare Infrastructure in Guanajuato: A Comprehensive Unit Planning Model

This database was used to address the following problem: Between 2016 and 2020, Guanajuato experienced a marked rise in poverty, as indicated by CONEVAL data. This has led to a substantial surge in demand for public healthcare services. Addressing this challenge, this study focuses on enhancing healthcare access and coverage across the state's 46 municipalities and 630+ medical units. To achieve these objectives and maximize societal benefits, a systematic infrastructure planning approach for healthcare services is proposed. The research undertakes an in-depth analysis of the current healthcare landscape, subsequently presenting an optimization model for locating new medical units. This model factors in service demand and capacity, offering a comprehensive decision-making framework. The practicality of this model is demonstrated through its application in a case study involving Guanajuato. Leveraging Cplex for exact problem-solving, preliminary outcomes showcase the promising potential of this decision-support tool.

本数据库旨在解决如下问题：2016年至2020年间，墨西哥瓜纳华托州（Guanajuato）的贫困程度显著上升，相关数据由墨西哥国家社会发展政策评估委员会（CONEVAL）发布。该趋势导致公共医疗服务需求大幅激增。为应对这一挑战，本研究聚焦于提升该州下辖46个市镇及630余家医疗单元的医疗服务可及性与覆盖率。为达成上述目标并最大化社会效益，本研究提出一套系统化的医疗服务基础设施规划方案。研究首先对当前医疗服务现状开展深入剖析，随后构建了新建医疗单元的选址优化模型。该模型综合考量服务需求与承载能力，形成一套完整的决策支持框架。通过在瓜纳华托州开展的案例研究，验证了该模型的实践可行性。本研究借助CPLEX求解器实现精确问题求解，初步结果表明该决策支持工具具备可观的应用潜力。