Presentation (CTI)

OBJECTIVES: This study aims to promote collaborative participation in medical data sharing by balancing the interests of various stakeholders and establishing a stakeholder collaboration mechanism for the healthy and sustainable development of medical data sharing practices.
METHODS: Using evolutionary game theory, this study considers three key stakeholders (the government, medical institutions, and patients). A payoff matrix is constructed from the perspective of dynamic interest allocation, and replicator dynamics equations are applied to analyze the mechanisms behind stakeholders' strategy choices driven by their interests. MATLAB simulations are employed to examine the impact of key factors on the system's evolutionary process.
RESULTS: The evolutionary game process progresses through eight stable strategy points from the initial stage to the maturity stage of medical data sharing, demonstrating the dynamic nature of stakeholders' cooperation evolution. Strong government regulation effectively promotes stakeholder collaboration in medical data sharing. Reducing the cost of strong regulation has a significant positive impact on the strategy choices of both the government and medical institutions. Furthermore, government subsidies for medical institutions and incentive mechanisms for patients encourage positive engagement in medical data sharing, mitigating risks and supporting data provision. The costs and benefits of data sharing for medical institutions significantly influence their strategic decisions, with the effects varying under different configurations.
CONCLUSIONS: Strong government regulation, cost reduction of regulatory measures, subsidies for medical institutions, and incentives for patients are critical to fostering collaboration among stakeholders in medical data sharing. These approaches mitigate risks, promote data sharing, and support the sustainable development of medical data sharing practices.