Affiliation:
1. Universidad Autónoma de Bucaramanga, Colombia
Abstract
This study advances healthcare process optimization, focusing on surgery roadmaps in the healthcare system, a scenario exemplifying optimization challenges due to limited information. This chapter emphasizes enhancing efficiency and resource utilization by employing lean manufacturing, operational research, simulation, data envelopment analysis, and non-dominance analysis. This study discovers 32 correlated patient pathways, showing shared activities and simultaneous multi-route impact from optimization strategies. Instead of merely analyzing pathway performance, the study applies data envelopment analysis to various investment scenarios, providing insights for healthcare decision-makers on improving patient care quality and efficiency. The juxtaposition of data envelopment analysis with a non-dominance algorithm in this mixed-method approach offers a robust framework for addressing healthcare operational challenges, particularly under information scarcity, and promotes continuous process improvement.
Cited by
1 articles.
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