Medical conjoined data sharing method based on block chain

Abstract

The invention discloses a medical conjoined data sharing method based on block chain. According to the method, a block chain technology is matched with a dynamic data management strategy to complete data sharing between medical conjuncts. The method comprises the following steps: firstly, desensitizing information of a patient by using a hash algorithm, secondly, carrying out data processing on desensitized data by using a data treatment strategy according to different data qualities among medical conjuncts, adding the processed data into a block chain, and finally, by using the characteristicthat the block chain records the use of the data, recording the use conditions of all data, and adopting an excitation mechanism to enable a data producer to actively improve the data quality. Through the method provided by the invention, the same desensitized patient data can be associated, and meanwhile, the efficiency is ensured and the requirement of a data user on the data quality can be metby utilizing a dynamic combination mode of an on-chain and off-chain data governance strategy.

Description

technical field [0001] The present invention relates to the technical field of big data, in particular to a method for sharing medical alliance data based on blockchain. Background technique [0002] With the rapid development of computer computing power and deep learning, the application of big data in various fields is booming, but there are many barriers to the development of the medical industry. In the final analysis, the quality of data is insufficient, and data cannot be shared effectively. [0003] With the accumulation of medical data, especially structured medical data, and the unprecedented breakthrough in the application of computer computing power in the field of deep learning, the entire medical and health industry has an increasingly strong demand for high-quality data sharing, especially in the field of big data applications. According to years of industry research experience, the amount of medical data already has the data accumulation for big data research ...

AI Technical Summary

Problems solved by technology

[0004] First, the accuracy of the data is insufficient. For example, the data generated by A institution, B institution modified the data when using the data, and then used it for C institution, which affects the accuracy of scientific research data sex;

[0005]Second, data security, some illegal institutions and blacklist institutions use these data, which will cause adverse effects;

[0007]Fourth, data is not willing to share free of charge, sharing without benefit does not exist, so an effective incentive mechanism is very important;

[0008] Fifth, after the data is obtained, in order to integrate with its own data and support research needs, a lot of data governance work is required before it can be used, which greatly increases the cost

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