基于区块链的数字身份在脑血管病临床医疗数据应用的模式探索

Objective To explore the application and prospect of blockchain-based digital identity in medical data management of cerebrovascular diseases. Methods Blockchain technology was used to decentralize cerebrovascular disease medical digital identities through the roles of issuer, controller, parser, prover and personal identity data account. A total of 200 subjects were selected to test the practicality and feasibility of the system based on the data exchange and medical imaging data. Results In the test of data exchange, for a single user, the average response time between saving and returning to save page of responsible directory was 1.261 seconds. For viewing the responsible directory, the average response time is 0.08 seconds. The average response time of submitting the data catalog and returning the page is 1.269 seconds. The system operated stably during the test, and can automatically resume services after network interruption and restoration. In the test of medical imaging data, the write flux was 9090 times per second, the average response time was 14.98 seconds, and an average of 9012 pieces of data are traversed per second. The reliability of the system was feasible, with the fault-tolerant capacity of 1/3 node. Conclusions Blockchain-based digital identity can ensure data security and promote data sharing and exchange, which has a promising prospect in the field of diagnosis, treatment and management of cerebrovascular diseases.