TY - CHAP
T1 - Efficiency analysis of a surgery roadmap based on lean manufacturing techniques, simulation, and data envelopment analysis
AU - Talero-Sarmiento, Leonardo H.
AU - Rodriguez, Laura Yeraldin Escobar
N1 - Publisher Copyright:
© 2024, IGI Global. All rights reserved.
PY - 2024/1/16
Y1 - 2024/1/16
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85193673428&partnerID=8YFLogxK
U2 - 10.4018/979-8-3693-0255-2.ch004
DO - 10.4018/979-8-3693-0255-2.ch004
M3 - Capítulos en libro
AN - SCOPUS:85193673428
SN - 9798369302552
SP - 82
EP - 117
BT - Data Envelopment Analysis (DEA) Methods for Maximizing Efficiency
PB - IGI Global
ER -