智慧医疗情境下双边隐私行为的交互机理及演化趋势研究

Research on Interaction Mechanism and Evolutionary Trend of Bilateral Privacy Behavior in Intelligent Health Context

[目的/意义]对智慧医疗情境下不同主体的隐私行为进行分析,建立有效的隐私保护机制,促进智慧医疗的健康发展。[研究设计/方法]针对现有隐私行为研究存在的不足:行为交互关系的单一性、未考虑行为主体的有限理性、忽视监管行为的动态性、如何实现“卡尔多”改进等问题,运用演化博弈理论,设计由智慧医疗服务商和监管部门组成的博弈主体,讨论其在智慧医疗情境下的隐私投入和隐私监管行为。根据不同行为策略的收益、成本和损失,分析双边隐私行为的交互机理,求解演化稳定策略,并探究不同因素对演化稳定策略的影响。[结论/发现]行为双方的隐私行为与投入成本、市场收益、监管成本、声誉损失、监管效率、罚金及补贴等因素密切相关,其中监管效率、罚金和补贴是影响隐私行为交互机理及演化趋势的主要因素。在静态参数条件下,双边隐私行为交互呈线性关系。在动态参数条件下,隐私监管行为的影响减弱,隐私投入行为的收敛和演化依赖于投入成本的降低以及市场收益的增加。[创新/价值]通过应用本文模型和方法,可以动态调整隐私监管机制,减少行政干预,促进智慧医疗行业的良性发展。

[Purpose/Significance]We investigate the privacy behavior of different entities,establish an effective privacy protection mechanism,and promote the development of intelligent health.[Design/Methodology]Considering the current research limitations of privacy behavior,such as the uniformity of behavior interaction,without considering the bounded rationality,ignoring the dynamic of regulation behavior and how to accomplish Kaldor improvement,a novel analysis method based on evolutionary game is proposed here as follows.First,the game players consisted of intelligent health providers and regulation departments are designed,to investigate their behavior in the process of intelligent health application.Then,by analyzing the profits,costs and loss of different game behaviors,the interaction mechanism and evolutionarily stable strategies(ESS)are employed.Based on this,the impacts on evolutionary trend of different factors are discussed.[Finds/Conclusion]The results show that the bilateral privacy behavior is correlated with investment costs,marketing profits,regulation costs,reputation loss,regulation efficiency,fines and subsidies,in which regulation efficiency,fines and subsidies are the major factors affecting the interaction mechanism and evolutionary trend.Under the condition of static parameters,the interaction of bilateral privacy behaviors is linear.Under the condition of dynamic parameters,the influence of regulation behavior is weakened,and the convergence of investment behavior is mainly dependent on the reduction of costs and the increase of market profits.[Originality/Value]By applying the proposed method in this paper,the privacy regulation mechanism can be dynamically adjusted,to reduce the administrative intervention and promote the development of intelligent health.