Wing Fang Jianshu Luo Zhen: Privacy computing makes data available and invisible to help build a chain of medical evidence

From April 7th to 9th, the 6th Annual Meeting of Chinese Medical Affairs, an annual event for medical professionals in the Chinese business community, was held in Beijing.
Dr.
Luo Zhen, the founder and CEO of Yifang Jianshu, was invited to participate in the conference and gave a keynote speech entitled "Privacy and Secure Computing: Data Circulation Helps Create a Medical Evidence Chain".

The medical field is considered to be the scene with the highest requirements for privacy data, and medical platforms gather the most private data of individuals.
Does sharing mean losing? Facing the much-concerned topic of medical data, Luo Zhen frankly said that medical data sharing and collaboration is facing many practical challenges, including data that does not follow the FAIR principle, privacy and security protection and open sharing cannot be balanced, lack of open ecological construction technical means, lack of sound Particle authorization management, etc.

With the advent of the digital economy era, the important role of data as a new production factor has become increasingly prominent.
In the medical field, data is a high-value production factor.
How to solve the barriers to the value circulation of medical data? Luo Zhen put forward Yifang Jianshu's core concept of data sharing and collaboration-privacy and safe computing.
Through the privacy and security calculation method, the original data never leaves the data platform, the data is authorized to be used in the platform, and the platform only outputs the value of the data.

In China, Yifang Jianshu uses its XDP Yishufang platform to connect real world data (RWD) from multiple sources, such as in-hospital diagnosis and treatment data, biometrics test data, medical insurance data, public health/disease control data, and public security /Government data such as civil affairs.
By means of privacy and safe computing, under the premise of data privacy protection and data security, use multi-source heterogeneous data to complete high-quality Real World Study (RWS), thereby discovering the value of data-high quality Real World Evidence (RWE).

In terms of promoting the value circulation of medical data through private and secure computing, Yifang Jianshu has many actual landing cases.
Among them, in the country's first batch of medical and health big data pilot cities in Xiamen, Yifang Jianshu built an open platform for the Xiamen health and medical big data application based on privacy and safe computing, and built a data ecology for open medical data applications.
It can realize the integration of data processing, data storage, and data calculation, and build an Internet of algorithms and data, so that medical data can also achieve application output and value output in a closed environment.

Luo Zhen introduced the operating mechanism of the XDP platform in detail.
The XDP platform follows the basic principles of privacy computing and provides a comprehensive data security and authorization guarantee mechanism; platform data is authorized to be used within the platform, and the original data does not leave the platform; data owners participate in data use management, and only authorized users can see and use the data; The platform establishes an open data ecology, the platform is open to third-party users, and users can authorize the use of data within the platform; the platform is open to third-party applications, and a data processing mechanism in the platform is established; the results of data processing form a new data set and a data traceability mechanism is established .
Yifang Jianshu's technology platform has been recognized and certified by China Academy of Information and Communication Technology (CAICT) under the Ministry of Industry and Information Technology (MIIT), a national authority.  

Privacy and secure computing technology is cutting-edge computer science and technology, including technologies such as multi-party secure computing MPC/homomorphic encryption, federated learning, and secure sandbox computing/TEE.

CMAC (Chinese Medical Affairs Conference) was established in 2015, with the mission of promoting academic transformation, promoting the healthy development of medical affairs, and benefiting patients.