考虑信任损益的健康大数据开放利用演化博弈分析

Evolutionary Game Analysis of Open Utilization of Healthcare Big Data Considering Trust Gains and Losses

[目的 /意义]相关主体之间的信任已成为决定健康大数据开放利用成效的关键因素。基于健康大数据开放利用过程,考虑信任损益因素,研究信任对各方主体行为的影响机制,为提升我国健康大数据开放利用成效提供前瞻性参考。[方法 /过程]聚焦于数据平台、使用方、患者在考虑信任损益因素情况下的决策行为,基于开放利用过程分析,建立三方演化博弈模型,并通过MATLAB进行仿真分析,最后根据均衡点分析与仿真结果提出对策建议。[结果 /结论 ]获取患者信任是使用方透明使用数据的根本动力;提升研究环境的安全性可以从根本上解决信任问题;加强监管与增大使用方的信任损益有助于实现良性的开放利用状态;提升患者对数据平台信任水平的同时,加强对使用方行为的制约更为重要。我国可考虑由国家主导建设健康大数据开放利用平台,加强可信研究环境建设并积极推广应用,推行数据使用登记制度并建立标准体系,有效引导公众参与健康大数据协同治理过程。

[Purpose/Significance]Trust among relevant stakeholders has become a key factor in determining the successful open utilization of healthcare big data.This study investigates the impact mechanism of trust on the stakeholder behavior,considering the factors of trust gains and losses,providing forward-looking references for improving the effectiveness of healthcare big data open use in China.[Method/Process]Focusing on the decision-making behavior of the data platform,users,and patients,and considering factors of trust gains and losses,this study established a tripartite evolutionary game model based on the analysis of the open utilization process.Simulation analysis was conducted using MATLAB,and countermeasure suggestions were proposed based on the equilibrium point analysis and simulation results.[Result/Conclusion]Gaining the trust of patients is fundamental for users to transparently use data.Enhancing the security of the research environment can fundamentally solve trust issues.Strengthening regulation and increasing the trust gains and losses for users contribute to a positive state of open utilization.While raising the trust level of patients in data platforms,it is more crucial to intensify constraints on user behavior.China may consider building a nationally-led platform for the open utilization of healthcare big data,strengthening the construction of a trusted research environment and actively promoting its application,implementing a data use registration system,and establishing a standard system,for effectively guiding the public to participate the collaborative governance of healthcare big data.