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¿Resilience or vulnerability? How simulation driven decision making transforms healthcare system performance during epidemiological disruptions
¿Resiliencia o vulnerabilidad? Cómo la toma de decisiones basada en simulaciones transforma el rendimiento del sistema sanitario durante las crisis epidemiológicas
DOI:
https://doi.org/10.15446/dyna.v93n242.125778Palabras clave:
simulación, resiliencia, disrupciones, gestión, rendimiento, decisiones, crisis (es)simulation, resilience, disruptions, management, performance, decisions, crises (en)
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Los sistemas sanitarios se enfrentan tienen la necesidad de contar con herramientas analíticas para la toma de decisiones en situaciones complejas de saturación del sistema. El objetivo de este estudio es analizar el rendimiento de los centros médicos ante perturbaciones epidemiológicas, mediante la simulación de eventos discretos con FlexSim Healthcare. Los resultados muestran que en escenarios de alta demanda que consideran factores de resiliencia, la capacidad de respuesta del sistema sanitario se ve afectada por una reducción del 37,50 % en comparación con sus condiciones iniciales. Novedosamente, el estudio aporta una contribución teórica al demostrar, mediante simulación comparativa, cómo los factores de resiliencia combinados mejoran la capacidad de adaptación de los hospitales durante las crisis. Esto puede ayudar a los responsables de la toma de decisiones y a los investigadores a mejorar la gestión de los procesos sanitarios utilizando tecnologías como la simulación, incluso ante interrupciones inesperadas.
Healthcare systems face the need for analytical tools to support decision-making in complex situations of system saturation. The aim of this study is to analyse the performance of healthcare centres in the face of epidemiological disruptions, using discrete-event simulation with FlexSim Healthcare. The results show that in high-demand scenarios that take resilience factors into account, the healthcare system’s responsiveness is reduced by 37.50% compared with its initial conditions. Innovatively, the study contributes theoretically by demonstrating, through comparative simulation, how combined resilience factors improve hospital adaptive performance during crises. It can help decision makers and researchers improve the management of healthcare processes using technologies such as simulation, even in the face of unexpected disruptions.
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