Method and device for medical information sharing privacy protection based on blockchain technology

Abstract

The invention discloses a method and device for medical information sharing privacy protection based on a blockchain technology. According to the method, in aspects of privacy protection based on a blockchain technology, medical data on-chain and off-chain storage and forced privacy protection safety multiparty calculation, illegal medical data obtaining, use and tampering are avoided, and medical information sharing, big data analysis and utilization and patient privacy protection are implemented. The device comprises a data storage module, a service module provided based on the blockchain technology and a call service module provided externally, wherein a three-layer data storage frame is adopted for the data storage module; and the service module provided based on the blockchain technology mainly comprises forced privacy protection safety multiparty calculation. The method and device for medical information sharing privacy protection based on the blockchain technology are mainly applied to the fields of method and device for medical information sharing privacy protection based on a blockchain technology and medical big data analysis and the like, and technical guarantee is also provided for patient privacy protection while medical information sharing is achieved based on the blockchain technology.

Description

technical field [0001] The invention relates to the fields of medical information sharing and patient privacy protection, in particular to a method and device for medical information sharing privacy protection based on block chain technology. Background technique [0002] Today, applications such as medical information sharing, cloud hospitals, and mobile medical care have been widely used in medical institutions in my country, and the medical industry has entered the era of big data. The application of medical information sharing and health cloud technology makes patient medical data more centralized and easier to obtain, which brings unprecedented convenience to patients' medical treatment, doctor's diagnosis and treatment, and health administrative management, but also brings the risk of data leakage. As long as there is a loophole in a certain link of the regional health information platform or the health cloud platform, medical data related to patient privacy may be sto...

AI Technical Summary

Problems solved by technology

From a management point of view, the protection of patient privacy data generally relies on the professional and technical ethics of relevant personnel and the management norms and systems formulated by various departments, which makes it difficult to ensure that patient privacy is not leaked in the context of centralized deployment of medical big data: First, although centralized deployment brings convenience and efficiency to management, it often leads to data loss when there are problems with software and hardware. At the same time, the data transparency of this method is not enough.

Second, although the exchange and sharing of medical data using data encryption technology can solve the security of patients' private data to a certain extent, with the increasingly frequent interconnection of medical data, how to ensure that all participating medical institutions can solve the problem of data security? Security Concerns Become an Impossible Dilemma

Third, in big data analysis, although desensitization and encryption technologies are used for patients' personal privacy data, patients cannot know how personal privacy data is stored and used, and the transparency is not enough. At the same time, some illegal users calculate and other methods can also obtain some patients' private data from big data

Fourth, human factors. Although various departments have formulated relevant management regulations on patient privacy protection for medical staff, IT system administrators, and data analysis engineers, it is difficult to eliminate patient privacy due to personal interests and commercial competition interests. data leaked

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