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inis 20(24): e4

Research Article

Toward Understanding the Interplay between Public and Private Healthcare Providers and Patients: An Agent-based Simulation Approach

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  • @ARTICLE{10.4108/eai.21-10-2020.166668,
        author={Zainab Alalawi and Yifeng Zeng and The Anh Han},
        title={Toward Understanding the Interplay between Public and Private Healthcare Providers and Patients: An Agent-based Simulation Approach},
        journal={EAI Endorsed Transactions on Industrial Networks and Intelligent Systems},
        volume={7},
        number={24},
        publisher={EAI},
        journal_a={INIS},
        year={2020},
        month={10},
        keywords={Healthcare Behaviour Modelling, Agent-based simulation, Evolutionary Game Theory, Collective Behaviour},
        doi={10.4108/eai.21-10-2020.166668}
    }
    
  • Zainab Alalawi
    Yifeng Zeng
    The Anh Han
    Year: 2020
    Toward Understanding the Interplay between Public and Private Healthcare Providers and Patients: An Agent-based Simulation Approach
    INIS
    EAI
    DOI: 10.4108/eai.21-10-2020.166668
Zainab Alalawi1, Yifeng Zeng2, The Anh Han1,*
  • 1: School of Computing, Engineering & Digital Technologies, Teesside University, UK
  • 2: Department of Computer and Information Sciences, Northumbria University, UK
*Contact email: t.han@tees.ac.uk

Abstract

Few modelling studies have been carried out to investigate patients’ involvement in the decision-making process in a healthcare system. Here we perform theoretical and simulation analysis of a healthcare business model involving three populations: Public Healthcare Providers, Private Healthcare Providers and Patients. The analysis contributes to healthcare economic modelling by analyzing the dynamics and emergence of cooperative behavior of agents within the three populations. Resorting to agent-based simulations, we examine the effect of increasing behavioural mutation and providers’ capacity on patients’ cooperative behaviour. We show that the former introduces more randomness in agents’ behaviors enabling cooperation to emerge in more difficult conditions. Moreover, when the providers’ capacity to meet patients’ demand is limited, patients exhibit low levels of cooperation, implying a more difficult cooperation dilemma in a healthcare system that needs addressing.

Keywords
Healthcare Behaviour Modelling, Agent-based simulation, Evolutionary Game Theory, Collective Behaviour
Received
2020-09-17
Accepted
2020-10-03
Published
2020-10-21
Publisher
EAI
http://dx.doi.org/10.4108/eai.21-10-2020.166668

Copyright © 2020 Zainab Alalawi et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license, which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.

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