TY - GEN
T1 - Balancing Resources and Demand
T2 - 13th International Conference on Operations Research and Enterprise Systems, ICORES 2024
AU - Castillo, Paulette
AU - Bucarey, Victor
AU - Davila, Sebastián
AU - Quezada, Franco
N1 - Publisher Copyright:
© 2024 by SCITEPRESS - Science and Technology Publications, Lda.
PY - 2024/1/1
Y1 - 2024/1/1
N2 - 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.
AB - 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.
KW - Districting Problem
KW - Healthcare System
KW - Mixed-Integer Linear Programming Formulation
U2 - 10.5220/0012410100003639
DO - 10.5220/0012410100003639
M3 - Conference contribution
AN - SCOPUS:85190382490
SN - 9789897586811
T3 - International Conference on Operations Research and Enterprise Systems
SP - 341
EP - 349
BT - Proceedings of the 13th International Conference on Operations Research and Enterprise Systems
A2 - Liberatore, Federico
A2 - Wesolkowski, Slawo
A2 - Parlier, Greg
PB - Science and Technology Publications, Lda
Y2 - 24 February 2024 through 26 February 2024
ER -