Electronic Healthcare. First International Conference, eHealth 2008, London, UK, September 8-9, 2008. Revised Selected Papers

Research Article

Agent-Based Simulation of Emergency Departments with Patient Diversion

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  • @INPROCEEDINGS{10.1007/978-3-642-00413-1_4,
        author={Marek Laskowski and Shamir Mukhi},
        title={Agent-Based Simulation of Emergency Departments with Patient Diversion},
        proceedings={Electronic Healthcare. First International Conference, eHealth 2008, London, UK, September 8-9, 2008. Revised Selected Papers},
        proceedings_a={E-HEALTH},
        year={2012},
        month={5},
        keywords={Agent based modeling waiting time reduction ambulance redeployment emergency department bio-inference},
        doi={10.1007/978-3-642-00413-1_4}
    }
    
  • Marek Laskowski
    Shamir Mukhi
    Year: 2012
    Agent-Based Simulation of Emergency Departments with Patient Diversion
    E-HEALTH
    Springer
    DOI: 10.1007/978-3-642-00413-1_4
Marek Laskowski1,*, Shamir Mukhi2
  • 1: University of Manitoba
  • 2: The Canadian Network for Public Health Intelligence (CNPHI)
*Contact email: mlaskows@ee.umanitoba.ca

Abstract

We describe an agent based model of an emergency department and its utility for evaluating workflow and assessing patient diversion policies. The overall goal of the research is to develop tools to better understand and manage emergency departments. There are several modes in which agent based modeling tools may be of benefit. In a self contained manner the operation of an emergency department can be modeled. In this mode, policies such as staffing could be changed and the effect on parameters such as waiting times and throughput could be quantified. In an extended version, multiple emergency departments can be modeled and would allow for the evaluation of ambulance or patient redirection policies. In either case we also suggest an effective means of augmenting the simulation with empirical data collected using a proximity location and tracking system within an emergency department. Our agent based model allows for a simulation of a number of emergency departments and introduces a method of extracting real time patient data from emergency departments throughout a city allowing for the evaluation of patient diversion policies.