Research on identification of key brittleness factors in emergency medical resources support system based on complex network

被引:7
|
作者
Peng, Benhong [1 ]
Ge, Jiaojiao [1 ]
Wei, Guo [2 ]
Wan, Anxia [1 ]
机构
[1] Nanjing Univ Informat Sci & Technol, Sch Management Sci & Engn, Nanjing 210044, Peoples R China
[2] Univ North Carolina Pembroke, Dept Math & Comp Sci, Pembroke, NC 28372 USA
基金
中国国家自然科学基金;
关键词
Medical resources; Emergency support; Factor identification; Complex network; Interpretive structural modeling; INFORMATION-SYSTEMS; RESILIENCE; CAPACITY; SCIENCE;
D O I
10.1016/j.artmed.2022.102350
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
To address the problem of difficulty in identifying the key brittleness factors in the emergency medical resources support system (EMRSS), the principle of Interpretive Structural Modeling is utilized to construct a hierarchical recursive structural model for probing the influencing factors of the brittleness risk formation in the system. Further, by incorporating with the complex network theory, the network of the emergency medical resources support system has been built. The integrated value reflecting the importance of the network nodes is calculated by integrating the local nodes and the whole network to identify the critical factors that lead to the collapse of the emergency medical system. The validity of the method was verified by Advanced Research Project Agency network. The results showed that the key brittleness factors in EMRSS mainly include the professional compe-tence of staff, the amount of government funding and the passing rate of quality sampling medical supplies in storage. It is hoped that this study provides useful information for reducing the brittleness risk and ensuring the safe operation of the system.
引用
收藏
页数:12
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