Agent-based Simulation Models Applied to Healthcare Systems: Modelling Human Behaviour for Improved Decision-Making Event

Time:

15:00 - 16:00

Date:

2024-11-12 00:00:00

Venue:

Ketley Room, Building 54

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Event details

Agent-based simulation (ABS) has gained considerable traction in recent decades as a powerful approach for representing complex systems through interactions among their constituent elements.

A key challenge within ABS is accurately modelling human behaviour, a task that has led to the development of various cognitive architectures. This seminar will introduce the PRIAGE (Pursued, Requested, and Induced Actions for Goals in Environment) architecture, which identifies three distinct action sources an agent may have in a simulation, thereby enhancing the modelling of human behaviour.

The seminar will explore applications of PRIAGE and advancements in human behaviour modelling in two specific healthcare challenges: first, examining the influence of police intervention on patient survival rates in out-of-hospital cardiac arrests, specifically analysing knowledge loss and acquisition; and second, assessing the impact of physician variability on patient assignments in emergency departments. Additionally, ongoing work will be discussed that utilises agent-based simulation to study adherence to and follow-up of disaster response protocols by emergency department physicians.

Speaker information

Miguel Baigorri is a PhD student in the Department of Statistics, Informatics and Mathematics at Public University of Navarre. His research primarily focuses on modelling human behaviour using agent-based approaches to develop hybrid simulation models of healthcare systems.