Medical Case Study & Demo

Recently, according to the report of "Zhejiang University-CyberVein R&D Center", the CyberVein blockchain database has completed the implementation of an application demo in the medical field. 

The demo is based on the "online medical assistant APP" and has passed 3 weeks of full testing. It opens up the medical business logic and can provide patients with services such as registration, inquiries, filing and prescription drugs, and realizes the sharing of medical records between hospitals within the ecosystem, which greatly improves medical experience.

At the same time, it can also provide data storage, protection and support for hospitals in the alliance ecosystem, and uniformly encrypt the chain and back up to CyberVein’s data center. The demo, as the first application on the main-net of CyberVein, will be officially launched in Zhejiang Province early 2021.

View the Demo


The value of medical big data is becoming more and more prominent, but its natural sensitivity and particularity have hindered its full use of value in information construction.

In the face of massive amounts of data, most medical institutions use manual entry for data collection. This method is costly, low in efficiency, and has a high risk of data loss. In addition, the standards and interface specifications of different institutions and different systems are different, which makes it very difficult to collect and integrate the underlying data.


CyberVein's medical data center provides a one-stop solution for medical big data applications through five core technologies of data connection, storage, management, analytics, and use, and four aspects: data collection layer, data source layer, big data center and application market.

The data collection layer of CyberVein’s medical data center has database backup and recovery, integrated platform, materialized view, data synchronization tools (such as OGG), and multiple data collection and access technologies (including ETL, crawlers, etc.), which fundamentally solve the traditional problem of weak medical data collection capabilities.

The data center’s data source layer and big data center lay the foundation for medical data circulation and sharing. Integrated DAG-based distributed storage supports asynchronous verification and parallel processing of each node. A unified data asset system improves the efficiency of data coordination and reuse by standardizing data as it is processed.

Through the establishment of an access control model, identity authentication technology is used to manage and control component operation permissions. That is, it meets the needs of medical data sharing between different hospitals and guarantees patient data privacy and medical staff's access to data.

The application market promotes the development of the medical industry to realize the value of data. CyberVein data center uses the computing power platform to achieve distributed and parallel execution of computing tasks, improve the computing efficiency of massive multi-source heterogeneous data, quickly confirm the data relationship and perform federated learning, and achieve data visualization under the premise of ensuring data privacy. Interactive visualization interfaces achieve comprehensive display of medical and health big data.

Finally, various medical big data platform basic applications will be built. Including but not limited to: clinical data search, patient panoramic diagnosis and treatment view, patient data services, clinical research applications, clinical knowledge base, department operations, clinical assistance decisions, etc.


CyberVein's medical data center actively strengthens scientific research exchanges and cooperation with multiple parties to make breakthroughs in major key sciences, technologies, and other fields that seek opportunities for innovation and breakthroughs. At the same time, it will continue to enrich the functions and services of the enterprise-level data center, making continuous contributions to global sustainable development.

The development of a value-oriented medical system will help transition the medical industry to rely on transparent and high quality data, halting the unsustainable rate of growth in global medical costs.

Increase in productivity
Reduction in cost
Increase in satisfaction

There’s a very complex ecosystem that exists in healthcare, and you’ve got competition where you really need transparency, where data is thought of as currency, and you’ve got a lot of cybersecurity issues…

When you start to see that ecosystem come together and establish the rules of the game, that’s where this is going to change.

Barb Hayes, General Manager at IBM Watson Health

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