Toward Understanding the Interplay between Public and Private Healthcare Providers and Patients: An Agent-based Simulation Approach
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 Prov...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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European Alliance for Innovation (EAI)
2020-10-01
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| Series: | EAI Endorsed Transactions on Industrial Networks and Intelligent Systems |
| Subjects: | |
| Online Access: | https://eudl.eu/pdf/10.4108/eai.21-10-2020.166668 |
| _version_ | 1819229106083987456 |
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| author | Zainab Alalawi Yifeng Zeng The Han |
| author_facet | Zainab Alalawi Yifeng Zeng The Han |
| author_sort | Zainab Alalawi |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-23T11:07:54Z |
| format | Article |
| id | doaj.art-591655ef4c1f4deb9f9c7c0b2c816c94 |
| institution | Directory Open Access Journal |
| issn | 2410-0218 |
| language | English |
| last_indexed | 2024-12-23T11:07:54Z |
| publishDate | 2020-10-01 |
| publisher | European Alliance for Innovation (EAI) |
| record_format | Article |
| series | EAI Endorsed Transactions on Industrial Networks and Intelligent Systems |
| spelling | doaj.art-591655ef4c1f4deb9f9c7c0b2c816c942022-12-21T17:49:26ZengEuropean Alliance for Innovation (EAI)EAI Endorsed Transactions on Industrial Networks and Intelligent Systems2410-02182020-10-0172410.4108/eai.21-10-2020.166668Toward Understanding the Interplay between Public and Private Healthcare Providers and Patients: An Agent-based Simulation ApproachZainab Alalawi0Yifeng Zeng1The Han2School of Computing, Engineering & Digital Technologies, Teesside University, UKDepartment of Computer and Information Sciences, Northumbria University, UKSchool of Computing, Engineering & Digital Technologies, Teesside University, UKFew 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.https://eudl.eu/pdf/10.4108/eai.21-10-2020.166668healthcare behaviour modellingagent-based simulationevolutionary game theorycollective behaviour |
| spellingShingle | Zainab Alalawi Yifeng Zeng The Han Toward Understanding the Interplay between Public and Private Healthcare Providers and Patients: An Agent-based Simulation Approach EAI Endorsed Transactions on Industrial Networks and Intelligent Systems healthcare behaviour modelling agent-based simulation evolutionary game theory collective behaviour |
| title | Toward Understanding the Interplay between Public and Private Healthcare Providers and Patients: An Agent-based Simulation Approach |
| title_full | Toward Understanding the Interplay between Public and Private Healthcare Providers and Patients: An Agent-based Simulation Approach |
| title_fullStr | Toward Understanding the Interplay between Public and Private Healthcare Providers and Patients: An Agent-based Simulation Approach |
| title_full_unstemmed | Toward Understanding the Interplay between Public and Private Healthcare Providers and Patients: An Agent-based Simulation Approach |
| title_short | Toward Understanding the Interplay between Public and Private Healthcare Providers and Patients: An Agent-based Simulation Approach |
| title_sort | toward understanding the interplay between public and private healthcare providers and patients an agent based simulation approach |
| topic | healthcare behaviour modelling agent-based simulation evolutionary game theory collective behaviour |
| url | https://eudl.eu/pdf/10.4108/eai.21-10-2020.166668 |
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