Hospital database management method and system based on adaptive data desensitization

By adopting adaptive data desensitization methods in hospital databases, dynamic grading and desensitizing multi-source data, combined with reinforcement learning and abnormal detection technology, the problem of imbalance between data security and availability of traditional methods is solved, and efficient data utilization and secure sharing are achieved.

CN120030601AActive Publication Date: 2025-05-23THE 900TH HOSPITAL OF THE CHINESE PEOPLES LIBERATION ARMY JOINT LOGISTICS SUPPORT FORCE
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Patent Information

Application Number
CN202510511995.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-23
Publication Date
2025-05-23
Estimated Expiration
2045-04-23

AI Technical Summary

Technical Problem

Traditional static data desensitization methods are difficult to adapt to complex hospital scenarios, and are prone to imbalance between data security and availability, which cannot effectively meet the needs of hospitals in data protection and privacy compliance.

Method used

Adopting hospital database management method based on adaptive data desensitization is adopted, and multi-source data is hierarchical through data classification algorithms, and a desensitization model based on role permissions, access content and data characteristics is established, and optimal desensitization strategies are dynamically generated, and abnormal detection is performed through reinforcement learning and GANomaly model.

Benefits of technology

It realizes efficient use and sharing of data while ensuring data security, improves the intelligence level of hospital data management, and can dynamically adjust the desensitization strategy according to user roles and access scenarios, improving the accuracy and security of data desensitization.

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Abstract

The invention relates to a hospital database management method and system based on adaptive data desensitization. The method comprises the following steps: S1, uniformly integrating multi-source data of a hospital into a database; s2, performing sensitivity grading on the data of the database through a data classification algorithm, and automatically generating corresponding labels; s3, establishing a desensitization model based on role permission, access content and data features; s4, the user inquires data and inputs related parameters through the front-end system, whether fields or data in the request contain high-sensitivity fields or not is judged, and if the fields or the data contain the high-sensitivity fields, a proper desensitization strategy is dynamically generated based on a desensitization model according to the user role, the data sensitivity and the access context; and S5, monitoring access behaviors in combination with data using log records, carrying out anomaly detection based on a GANopen model, and if an abnormal behavior is detected, triggering an alarm or stopping access. According to the invention, efficient utilization and sharing of data are realized, and the intelligent level of hospital data management is improved.
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