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Evolutionary Game Analysis of Healthcare Information Construction and Sharing Decisions Considering Synergy Benefits

Author

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  • Sen Yang

    (School of Economics and Management, Southeast University, Nanjing 211189, China)

  • Haiyan Wang

    (School of Economics and Management, Southeast University, Nanjing 211189, China)

Abstract

The current healthcare system suffers from information fragmentation. Achieving an efficient medical process necessitates coordination among healthcare institutions at different levels to enhance efficiency and reduce costs, with information synergy playing a crucial role in this endeavor. Due to concerns about information security and the costs associated with information construction, healthcare institutions are often reluctant to collaborate on information sharing. To address this issue, we propose an analytical framework for information synergy among different levels of healthcare institutions, which clarifies the impact of synergy benefits on the collaborative behavior of medical system members. We construct an evolutionary game model to study the dynamic strategy choices of the relevant participants. Our analysis reveals that general hospitals, as the main actors in the healthcare system, have a lower willingness to further invest in information construction and sharing. Their willingness is significantly influenced by the volume of information they can utilize from primary healthcare institutions. Moreover, interventions from the government and society can effectively encourage all members of the medical system to adopt collaborative information strategies. Establishing a comprehensive and unified information platform, actively promoting hierarchical diagnosis and treatment, and setting reasonable assessment indicators for the level of information available from healthcare institutions can significantly reduce the costs associated with information construction. These measures will enhance the benefits of information synergy, thereby facilitating the exchange of information within the healthcare system.

Suggested Citation

  • Sen Yang & Haiyan Wang, 2024. "Evolutionary Game Analysis of Healthcare Information Construction and Sharing Decisions Considering Synergy Benefits," Mathematics, MDPI, vol. 12(17), pages 1-18, September.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:17:p:2751-:d:1471880
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    References listed on IDEAS

    as
    1. Tan, Yiheng & Huang, Xiying & Li, Wei, 2023. "Does blockchain-based traceability system guarantee information authenticity? An evolutionary game approach," International Journal of Production Economics, Elsevier, vol. 264(C).
    2. Daniel Friedman, 1998. "On economic applications of evolutionary game theory," Journal of Evolutionary Economics, Springer, vol. 8(1), pages 15-43.
    3. Friedman, Daniel, 1991. "Evolutionary Games in Economics," Econometrica, Econometric Society, vol. 59(3), pages 637-666, May.
    4. Hilal Atasoy & Pei-yu Chen & Kartik Ganju, 2018. "The Spillover Effects of Health IT Investments on Regional Healthcare Costs," Management Science, INFORMS, vol. 64(6), pages 2515-2534, June.
    5. Lu (Lucy) Yan & Xiangbin Yan & Yong Tan & Sherry X. Sun, 2019. "Shared Minds: How Patients Use Collaborative Information Sharing via Social Media Platforms," Production and Operations Management, Production and Operations Management Society, vol. 28(1), pages 9-26, January.
    6. Chen, Yi & Ding, Shuai & Zheng, Handong & Zhang, Youtao & Yang, Shanlin, 2018. "Exploring diffusion strategies for mHealth promotion using evolutionary game model," Applied Mathematics and Computation, Elsevier, vol. 336(C), pages 148-161.
    7. Dimitrios A. Andritsos & Christopher S. Tang, 2018. "Incentive Programs for Reducing Readmissions when Patient Care is Co†Produced," Production and Operations Management, Production and Operations Management Society, vol. 27(6), pages 999-1020, June.
    8. Qixuan Tang & Chengjun Wang & Tao Feng, 2023. "Research on the Group Innovation Information-Sharing Strategy of the Industry–University–Research Innovation Alliance Based on an Evolutionary Game," Mathematics, MDPI, vol. 11(19), pages 1-16, October.
    Full references (including those not matched with items on IDEAS)

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