A Distributed Sharing Model for EMRs Based on Hybrid Consortium Chain and Stackelberg Game

The sharing of electronic medical records (EMRs) can significantly improve the quality of medical services and is crucial for disease research and the diagnostic process of doctors. However, due to insufficient trust and concerns over data security, data holders often refuse to share EMRs data with data users. On the premise of ensuring data security, how to motivate data holders to conduct trusted sharing is a major challenge currently faced by the academic community. To address this challenge, this paper proposes a distributed sharing model based on hybrid consortium chains and Stackelberg games. This model integrates the decentralized feature of the consortium chain with the game strategy optimization method to construct a trusted and secure shared framework. By analyzing the decision-making conflicts of the participants and designing the incentive mechanism to ensure reasonable returns, the ADMM (Alternating Direction Method of Multipliers) is utilized to achieve the dual maximization of the profits of data providers and the utility of consumers. The AHC (Agglomerative hierarchical clustering) algorithm was adopted to cluster consensus nodes to improve the traditional PBFT (Practical Byzantine Fault Tolerance) consensus algorithm, enhancing the efficiency of EMRs data sharing. And it has reduced the phenomenon of data silos. The simulation experiments show that the medical consortium chain system constructed in this paper can provide secure EMRs management and transactions, reduce the communication overhead and delay of medical nodes when sharing EMRs data, increase the throughput, and promote the interoperability among medical institutions and relevant departments.