Evolutionary Game Analysis of Open Utilization of Healthcare Big Data Considering Trust Gains and Losses
[Purpose/Significance]Trust among relevant stakeholders has become a key factor in determin-ing 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 deci-sion-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.Simu-lation analysis was conducted using MATLAB,and countermeasure suggestions were proposed based on the equi-librium 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,im-plementing a data use registration system,and establishing a standard system,for effectively guiding the public to participate the collaborative governance of healthcare big data.
healthcare big datatrusttransparencyopen utilizationevolutionary game
万方数据
维普
