Block chain medical data sharing incentive method based on game theory

Abstract

The invention provides a block chain medical data sharing incentive method based on a game theory. The method is used for solving the problem that current medical data cannot be freely transmitted and shared among different medical institutions. The method comprises the steps of a medical alliance health chain system is established by utilizing an alliance chain technology; the patient shares own medical data, and the medical institution manages and shares the medical data in the health chain system; a game model between medical data pricing and trading volume is established, the medical institution sets an initial pricing according to medical data features, and a medical data consumer bids according to own needs; a Nash equilibrium point of the game model is calculated by using a reverse derivation method to obtain an optimal data price and a data transaction volume; a transaction is determined, and a shared transaction record is verified, broadcasted and uplink to a health chain system. According to the method, the optimal pricing of the medical data can be quickly realized, the data consumer obtains the data volume with the maximum income, and the health chain system can realize the maximization of the medical data resource benefit.

Description

technical field [0001] The present invention relates to the field of block chain technology, in particular to a block chain medical data sharing incentive method based on game theory. Background technique [0002] The medical and health service system mainly collects and manages the electronic medical records of patients. At present, each different medical institution has its own independent medical and health service system platform, and stores and manages its own electronic medical record data. The ability to share electronic medical record data across agencies is very limited due to separate interests and competing interests. Electronic medical records contain sensitive information of patients, doctors, and medical institutions. Due to the centralized storage and management mode of traditional medical and health service systems, it is easy to cause problems such as leakage of user privacy, loss or tampering of EMR data, and data islands. In order to break through the lim...

AI Technical Summary

Problems solved by technology

Electronic medical records contain sensitive information of patients, doctors, and medical institutions. Due to the centralized storage and management mode of traditional medical and health service systems, it is easy to cause problems such as user privacy leakage, EMR data loss or tampering, and data islands.

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