Complexity measure based on sensitivity analysis applied to an intensive care unit system

This work proposes a system complexity metric and its application to Intensive Care Unit (ICU) system. The methodology for applying said complexity metric comprises: (i) parameters sensitivity indices calculation, (ii) mapping connections dynamics between system components, and (iii) system’s comple...

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Bibliographic Details
Published in:Scientific reports 2023-09, Vol.13 (1), p.14602-14602, Article 14602
Main Authors: Paiva, Joao R. B., Pacheco, Viviane M. G., Barbosa, Poliana S., Almeida, Fabiana R., Wainer, Gabriel A., Gomes, Flavio A., Coimbra, Antonio P., Calixto, Wesley P.
Format: Article
Language:English
Subjects:
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Behavior
Critical care
Hospitals
Humanities and Social Sciences
Intensive care
Length of stay
Medical research
Mortality
multidisciplinary
Queuing theory
Science
Science (multidisciplinary)
Sensitivity analysis
Simulation
Workloads
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Summary:This work proposes a system complexity metric and its application to Intensive Care Unit (ICU) system. The methodology for applying said complexity metric comprises: (i) parameters sensitivity indices calculation, (ii) mapping connections dynamics between system components, and (iii) system’s complexity calculation. After simulating the ICU computer model and using the proposed methodology, we obtained results regarding: number of admissions, number of patients in the queue, length of stay, beds in use, ICU performance, and system complexity values (in regular or overloaded operation). As the number of patients in the queue increased, the ICU system complexity also increased, indicating a need for policies to promote system robustness.
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-023-40149-x