PDF(2131 KB)
An Evolutionary Game Analysis of Doctor-Patient Online Interaction based on Reputation Feedback Mechanism
Li Meiyu, Xu Xin
Knowledge Management Forum ›› 2022, Vol. 7 ›› Issue (5) : 562-573.
PDF(2131 KB)
PDF(2131 KB)
An Evolutionary Game Analysis of Doctor-Patient Online Interaction based on Reputation Feedback Mechanism
[Purpose/Significance] Online reputation is an important regulating mechanism to maintain the order of online medical care. Through exploring the internal mechanism of online reputation feedback mechanism on doctor-patient interaction, this paper provided strategies for improving the supervision and management of online medical community. [Method/Process] The finite rational evolutionary game model between doctors and patients was constructed. The dynamic equation was calculated, the equilibrium and stability strategy was solved, and the Matlab software was used for simulation analysis to find out the key influencing factors and influencing paths of promoting doctor-patient online positive interaction. [Result/Conclusion] The results show that the degree to which negative evaluation behavior can alleviate patients' dissatisfaction, the cost of doctors' positive response, and the frustration of doctors' enthusiasm being depressed have a negative effect on doctor-patient interaction. The information gap reduced by correct information feedback of patients and doctors' mental incentive to be recognized have a positive effect on doctor-patient interaction.
online medical treatment / reputation feedback / incentive mechanism / doctor-patient interaction / evolutionary game theory
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李美玉：撰写、修改和完善论文
许鑫：论文框架的指导与确定
感谢华东师范大学侯经川教授和南京大学赵月华博士提出修改意见。
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