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Affiliation

University of Santiago of Chile (USACH), Faculty of Engineering, Industrial Engineering Department, Chile

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1 Papers

Balancing Resources and Demand: A Bi-Objective Mixed-Integer Programming Approach of Healthcare Districts in Chile

Topics: Optimization; Management Sciences; Industrial Engineering; Linear Programming; Resource Allocation; OR in Health

Authors: Paulette Castillo ¹ , Victor Bucarey ² , Sebastián Davila ^{1

;

3} and Franco Quezada ^{1

;

3}

Affiliations: ¹ University of Santiago of Chile (USACH), Faculty of Engineering, Industrial Engineering Department, Chile , ² Institute of Engineering Sciences, Universidad de O’Higgins, Rancagua, Chile , ³ University of Santiago of Chile (USACH), Faculty of Engineering, Program for the Development of Sustainable Production Systems (PDSPS), Chile

Digital Object Identifier: 10.5220/0012410100003639

Proceedings of ICORES 2024, ISBN: 978-989-758-681-1

Quick Abstract

In the search for equitable and efficient health service delivery, geographical partition into operational districts is a fundamental factor. This research delves into the intricate challenge of combinatorial optimization of healthcare districts, with an application to the Metropolitan region of Santiago, Chile, where growing population pressures exacerbate concerns about the distribution of healthcare resources. By emphasizing continuity from primary to secondary healthcare levels, we underline the importance of a good district plan, considering key parameters such as population homogeneity, compactness, and alignment between capacity and demand. By applying a mixed integer linear programming model with a bi-objective function, our findings indicate substantial scope for improving resource allocation, potentially cutting overages by up to 38.77% at the primary healthcare level and up to 15% at the secondary healthcare level.