Research on the Interaction Mechanism and Evolutionary Trends of Privacy Behaviors of Four Parties in the Context of Smart Medical Care
[Purpose/Significance]The study gives the limitations of privacy protection mechanisms in smart medical scenarios,studying the privacy behavior interactions among patients,medical institutions,smart medical platforms,and governments is of great practical significance for maintaining privacy security.[Method/Process]Based on evolutionary game theory,a four-party game model of patients,medical institutions,smart medical platforms and governments was con-structed.The study calculated the benefit matrix based on the benefits,costs,losses,etc.of each party's behavioral strat-egies,solved the evolutionary stable strategies of each subject and the system,and considered the impact of different fac-tors on the subject's behavioral strategy selection and the stable state of the system.[Results/Conclusion]Patients'privacy disclosure behavior is closely related to the service benefits obtained after disclosing privacy.The privacy protection invest-ment cost and privacy leakage probability of medical institutions significantly impact their privacy protection behavior.The government rewards and penalties and fines income of the smart medical platform and input costs are key factors affecting its strict management behavior.The government's regulatory behavior is closely related to factors such as reward and punish-ment mechanisms.By applying the models and methods in this study,the privacy protection mechanism can be dynamically adjusted,the responsibilities of all parties can be clarified,and the sustainable and healthy development of smart medical care can be promoted.
smart medical careevolutionary gameprivacy behaviorpatientmedical institutionsmart medical platformgovernment
万方数据
维普
