Human health detection data sharing system based on blockchain

Abstract

The present invention provides a blockchain-based human health detection data sharing system, including: an account management module for receiving application information sent by users, generating user account numbers and passwords, and feeding them back to users; a blockchain storage module, It is used to store the blockchain, which includes multiple storage nodes connected by communication; the data wireless acquisition module is used to collect the human health detection data of patients, and store the human health detection data to the corresponding storage on the blockchain In the node; the access rights management module is used to assign the user access rights to the storage nodes in the blockchain according to the user's application information; the data sharing module is used to receive the identification information of the storage nodes input by the user , call out the human health detection data corresponding to the identification information in the blockchain.

Description

technical field [0001] The invention relates to the technical field of medical management, in particular to a blockchain-based human health detection data sharing system. Background technique [0002] Medical institutions have always been faced with the problem of being unable to safely share data across platforms. On the one hand, the data is scattered, and different medical institutions and different information systems form data islands, making it difficult to achieve a unified view centered on residents. At the same time, the data is incomplete, such as high blood pressure. , diabetes and other common chronic patients and high-risk groups such as reasonable diet, behavioral habits, healthy psychology and other aspects of daily health management and intervention data have not been digitized, or are scattered in the systems of smart terminals and wearable device manufacturers; On the other hand, due to the long industrial supply chain, from upstream to downstream, data inf...

AI Technical Summary

Problems solved by technology

[0002] Medical institutions have always been faced with the problem of being unable to safely share data across platforms. On the one hand, the data is scattered, and different medical institutions and different information systems form data islands, making it difficult to achieve a unified view centered on residents. At the same time, the data is incomplete, such as high blood pressure. , diabetes and other common chronic patients and high-risk groups such as reasonable diet, behavioral habits, healthy psychology and other aspects of daily health management and intervention data have not been digitized, or are scattered in the systems of smart terminals and wearable device manufacturers; On the other hand, due to the long industrial supply chain, from upstream to downstream, data information passes through many links, and it is difficult to invest enough inspection and management power in every link

Lack of regulatory mechanisms such as data security, privacy protection, and data ownership, individuals and data owners are unwilling to actively open and share

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