Blockchain-Based Incentive Mechanism for Electronic Medical Record Sharing Platform: An Evolutionary Game Approach

Area of Science:

• Health Informatics
• Computer Science
• Game Theory

Background:

• Electronic medical record (EMR) sharing is crucial for improving healthcare quality and efficiency.
• Challenges exist in establishing trust and encouraging user participation in EMR sharing systems.
• Existing incentive mechanisms often overlook the role of research institutions' behavior.

Purpose of the Study:

• To propose a novel incentive mechanism for secure and trustworthy EMR sharing.
• To address the impact of both user and research institution behavior on participation and trust.
• To enhance user privacy protection and encourage active data contribution.

Main Methods:

• Utilizing evolutionary game theory to model dynamic interactions.
• Integrating blockchain technology for immutable and secure data management.
• Designing a system with clear rewards and punishments for participants.

Main Results:

• The proposed mechanism effectively encourages research institutions to protect user privacy.
• It successfully reduces user concerns regarding data sharing.
• Simulations confirm the mechanism's ability to foster active user data contribution and system trust.

Conclusions:

• The developed incentive mechanism, combining blockchain and evolutionary game theory, enhances trust and participation in EMR sharing.
• It provides a secure and effective framework for managing EMR data exchange.
• This approach offers a promising solution for overcoming current challenges in medical data sharing.