With the advancement of informationization, the data scale and business complexity of medical institutions are increasing, and data security issues are becoming more and more prominent:
1、Data leakage: Insiders or third-party personnel have access to medical data, and the lack of effective regulatory means may result in the leakage of patients' private data;
2、Data sharing: medical data will be shared with the Health Insurance Bureau, CDC and other units, and there may be data leakage risks during data sharing and use;
3、External attacks: external illegal personnel may use database loopholes to invade the business system and obtain patients' private data, as well as interfere with the normal operation of the business;
4、Compliance requirements: Data security laws, personal information protection laws and other laws and regulations enacted by the state and the industry have put forward higher requirements for hospital data security protection.
Taking medical data asset protection needs as the core, around the various business scenarios of medical data, it provides three-dimensional medical data security protection solutions such as data asset sorting and classification and grading, risky operation behavior auditing and blocking, de-privatization of sensitive data, and medical data security situational awareness, etc., so as to satisfy the requirements of national and industry laws and regulations.
1. Comprehensive monitoring, risk blocking, traceability and forensics of hospital personnel accessing the database at any time period;
2. Audit monitoring of illegal access behavior by auditors;
3. De-privatization of sensitive data in development testing and sharing and exchange scenarios;
4. Risk monitoring and early warning of hospital business system interface calls.
Built-in multiple sensitive data types and desensitization algorithms to achieve the protection of private patient information in different scenarios.
The only one to support comprehensive protection of Caché database; built-in thousands of HIS vendor rules; original "hexadecimal group", three-layer structure audit, precise positioning to the operator.
Systematic coverage of various application scenarios of medical data, forming a protection system before, during and after the event, effectively protecting patients' private information.