Abstract
For the medical industry, there are problems such as poor sharing of medical data, tampering, and leakage of private data. In view of these problems, a blockchain-based electronic medical record access control research scheme based on the role-based access control model is proposed in this article. First, the appropriate access control strategy is adopted to solve the leakage problem of the user’s medical privacy information during the access process. Then, the information entropy technology is used to quantify the medical data, so that the medical data can be effectively and maximally utilized. Using the distributed general ledger characteristics of blockchain and its inherent security attributes, data islands can be eliminated, data sharing among medical systems can be promoted, access records can be prevented from being tampered with, and medical research and precise medical treatment can be better supported. Through this research, not only can user’s medical privacy information protection be realized during the service process but also patients can manage their own medical data autonomously, which is beneficial to privacy protection under the medical data sharing.
Highlights
The rapid development and wide application of computer and information technology have brought about the informationization reform of medical institutions
Compared with the literature 34–35, blockchain is combined with access control to solve the leakage problem and sharing problem of medical data, which protects the patient’s medical privacy to a certain extent
The management of medical data centering deprives patients of ownership of data, making it impossible for patients to participate in the management of their own data
Summary
The rapid development and wide application of computer and information technology have brought about the informationization reform of medical institutions. Keywords Medical data, access control, blockchain, privacy protection Chen and Lin[14] proposed a new authorization access control model, which stores the patient’s data according to the privacy level and obtains corresponding information according to different authorization modes.
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