Network-agnostic computational approaches to capture the dynamic nonlinear behaviour of complex hospital systems.

Another great seminar opportunity on the same day!

Presenter: Dr. Arsineh Boodaghian Asl
Date and time: September 19, 17:10
Place: YSU Krisp AI Lab

Seminar Abstract: Hospitals are complex, highly interconnected systems where dynamic, nonlinear patient flow can create persistent bottlenecks that often originate in non-priority wards and emerge in critical care areas. The nonlinearity, evolving nature, and unpredictable changes make it challenging to perceive system behaviour.

To address this, I will present two network-agnostic computational approaches capable of modelling diverse hospital networks, regardless of topological changes.

The first is a hybrid modelling approach that integrates agent-based network simulation with network algorithms to identify persistent bottlenecks arising from both ward-to-ward connectivity and patient flow, supporting evidence-based decision-making and performance evaluation under evolving hospital topologies.

The second is a dynamic nonlinear flow algorithm, derived from the Ford–Fulkerson and Edmonds–Karp algorithms, modified for complex hospital systems to capture bottleneck persistency, severity, and root causes, as well as to achieve better computational efficiency. Together, these approaches offer flexible, scalable, and adaptable tools for analysing and improving patient flow in complex hospital systems.

Bio: https://www.su.se/english/profiles/arbo9209-1.775790
Homepage: https://arsineh.me/

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