BaseBit.ai Co-hosts the First Medical Privacy Computing Conference and the Second DataX Conference to Advance the Internet of Data and Computing in Healthcare

On December 9, the First Medical Privacy Computing Conference and the Second DataX Conference, themed “Applications and Development Trends of Privacy-Enhancing Computation in Healthcare,” was held in Changning, Shanghai. The event was organized by China Digital Medicine Magazine Co., Ltd. and the Cloud Computing and Big Data Research Institute of the China Academy of Information and Communications Technology (CAICT), with YiJian (Shanghai) Information Technology Co., Ltd. serving as a supporting organization.

Leaders from the former Ministry of Health, the Ministry of Industry and Information Technology (MIIT), the Shanghai Municipal Committee of the Chinese Peasants and Workers Democratic Party, the Shanghai Municipal Commission of Economy and Informatization, and the Hospital Management Institute of the National Health Commission extended their congratulations on the convening of this conference.The conference was attended by numerous experts, scholars, local government officials, and representatives from medical institutions in China’s broader health sector, including: Zhang Xudong, Deputy Director of the Hospital Management Institute of the National Health Commission and former leader of the Ministry of Health; Zhang Jianlun, Director of the Digital Economy Promotion Division, Department of Information Technology Development, MIIT; Chen Ying, Deputy District Mayor of Changning District, Shanghai; Wang Zhijia, Director of the Artificial Intelligence Development Division, Shanghai Municipal Commission of Economy and Informatization; Wu Jing, Director of the National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention; Min Dong, Deputy Director of the Cloud Computing and Big Data Research Institute, China Academy of Information and Communications Technology (CAICT); Hu Weiguo, Vice President of Ruijin Hospital, Shanghai Jiao Tong University School of Medicine; Professor Liu Lei, Executive Vice Dean of the Institute of Intelligent Medicine, Fudan University; Professor Li Yixue, Director of the Scientific Data Platform, Guangzhou Laboratory; Wang Shan, Vice President of the Chinese Hospital Association and former President of Peking University People’s Hospital; Zhou Wei, Director of the Office of the National Population Health Science Data Center; Ding Guohui, Executive Director of the Institute of Digital Health, Shanghai International Human Phenome Institute; Xue Wanguo, former Director of the Big Data Research Center, Chinese PLA General Hospital; Chen Xun, Chairman of Wingfong Health Data; and Luo Zhen, Chief Executive Officer of Wingfong Health Data.

Building on the inaugural DataX Conference, this event aims to bring together visionaries and thought leaders interested in the circulation of data elements, the formation of data element markets, and a data-driven future. From technology to products and applications, and from policy to business and science, participants will convene for in-depth discussions on all matters surrounding data. The 2022 Second DataX Conference focuses on healthcare, collaborating with key industry leaders and cutting-edge enterprises to explore ways to promote safer, more precise, and more effective development within the healthcare sector.

In his opening remarks, Dr. Chen Xun, Chairman of Yifang Health Data, stated that human scientific and technological progress is rapidly entering the Fourth Paradigm—an innovation paradigm centered on data, following the three preceding paradigms of empirical observation, theoretical science, and computational simulation. As a practical science, medicine is increasingly transforming its practices into data. As highlighted at the previous conference, “data is knowledge,” and data derived from medical practice constitutes a treasure trove of knowledge for the advancement of medicine. Since its inception, Yifang Health Data has remained true to its original mission, steadfastly promoting and exploring the circulation and application of healthcare data. On the technical front, the company has open-sourced privacy-preserving secure computation technologies to share emerging innovations with industry practitioners. In terms of product development, its solutions have gained adoption and usage across multiple fields and industries, with its healthcare products gaining momentum and gradually maturing. Conceptually, the content and implications of privacy-preserving computation have become increasingly enriched and profound amid the wave of industrial development. Concluding his address, Dr. Chen expressed his expectation to work together with all stakeholders to co-create a “data-driven, digital, and intelligent” future for healthcare.

 Dr. Chen Xun, Chairman of Yifang Health Data

In his keynote address titled “Building the ‘Internet of Data and Computing’ in Healthcare,” Dr. Luo Zhen, CEO of Yifang Health Data, shared the company’s insights and perspectives on fostering an ecosystem for healthcare data circulation and developing an Internet of Data and Computing. He highlighted the “heterogeneity” challenges encountered in this endeavor, such as trust heterogeneity—which can be addressed through privacy-preserving computation technologies—referring to the mutual distrust between data providers and data consumers; the adoption of differing data standards and organizational frameworks across various data sources; the use of diverse storage and computing methods for raw data; and the utilization of heterogeneous computational resources by data sources or computing nodes.

To address these challenges, Yifang Jianshu has developed a series of independently researched and advanced technologies and products, exploring and resolving the technical dilemmas encountered in building the Data and Computing Internet.

Especially in the healthcare industry, Yifang Jianshu has developed general-purpose and multi-scenario medical product tools, such as data governance tools, knowledge graphs, and artificial intelligence models widely applied across various healthcare scenarios. By leveraging technology and tools to govern data from different nodes in a unified manner, data consumers can process data as if it were all aggregated in a single location, even in the presence of various “heterogeneous” data issues. Furthermore, Yifang Jianshu is building an open ecosystem for data applications, enabling professionals with insights, expertise, and needs related to data to participate in this open data ecosystem. Through diverse data, models, and computing capabilities, this approach creates infinite value for various industries and applications.

Dr. Luo Zhen, CEO of Yifang Health Data

The “Overall Plan for the Comprehensive Reform Pilot of Market-Based Allocation of Production Factors,” issued by the State Council at the beginning of this year, mentions opening up certain high-value public data, including health and medical data, to the public to promote circulation and value creation. Meanwhile, relevant authorities have repeatedly emphasized the data trading paradigm of “raw data remaining within its domain, with data being usable but not visible.”

“Raw Data Does Not Leave the Domain” refers to a standard followed in data exchange and sharing. In the joint creation of data value among data requesters, data providers, multiple data sources, and between these sources and the requesters, raw data is not exchanged. Instead, through an “available but invisible” approach, multiple data sources collaboratively express data value via computation. This requirement effectively means that the future data ecosystem cannot evolve into an unrestricted aggregation of data. Rather, each data source should uphold its responsibilities for data security and privacy protection. By building a distributed data network, data requesters can leverage this infrastructure to generate value through computation.

Signing Ceremony at the Conference Venue

At the conference, China Academy of Information and Communications Technology (CAICT), Fudan University’s Institute of Intelligent Medicine, XtalPi, and Wingsoft Health Data held a strategic cooperation signing ceremony. In addition, the “White Paper on Privacy-Preserving Computation Applications in Healthcare (2022),” jointly compiled by the Internet Medical Health Industry Alliance, the Privacy-Preserving Computation Alliance, Wingjian (Shanghai) Information Technology Co., Ltd., together with medical institutions, technology service enterprises, and other relevant organizations, was officially released at the event. Min Dong, Deputy Director of the Cloud Computing and Big Data Research Institute under CAICT, provided an interpretation of the white paper. The document offers an in-depth analysis of the healthcare privacy-preserving computation industry from perspectives including current development status, application domains, opportunities and challenges, and future planning, while also highlighting a number of outstanding application cases. Wingsoft Health Data’s participation underscores its commitment to collaborating with industry peers to drive the rapid advancement of medical and healthcare services.

Launch Ceremony of the White Paper on Privacy-Preserving Computation Applications in Healthcare

From the informatization-driven healthcare construction of the past IT era to the current intelligent healthcare development in the AI era, the importance of privacy-preserving computation in unlocking the value of health and medical data has become increasingly evident. Li Weigang, President of the Healthcare Business Group at Wingfintech (Yifang Jianshu), delivered a speech titled “Release of Wingfintech’s Privacy-Preserving Computation Strategy for the Healthcare Industry.” He shared insights on leveraging technologies such as privacy-preserving computation and artificial intelligence to drive data value extraction in the healthcare sector. Centered on the company’s independently developed secure privacy-computing platform, XDP WingData Hub, he elaborated on the process by which foundational data evolves into higher-level applications during digital transformation in healthcare.

Li Weigang, President of the Healthcare Business Group at Yifang Health Data

Since its inception, Wingfintech has remained dedicated to the healthcare sector. Over seven years of focused development, it has deeply integrated privacy-preserving secure computation with end-to-end artificial intelligence technologies. The company provides specialized product tools across various sub-sectors, including healthcare, insurance, and pharmaceuticals. Guided by its vision of an “Internet of Data and Computing,” Wingfintech is building a collaborative ecosystem for medical data, delivering a series of outstanding solutions and case studies throughout the healthcare industry. It achieves a full-stack, closed-loop system spanning multiple healthcare scenarios—from data to intelligent applications—thereby continuously empowering the industrialization of health and medical data value. Furthermore, Li Weigang shared that from 2017 to 2022, Wingfintech successfully implemented more than 70 projects nationwide. Its client base spans the healthcare sector (including hospitals, medical schools, and Health Commissions), the insurance sector (including insurance companies and insurtech firms), as well as pharmaceutical companies, medical device manufacturers, and contract research organizations (CROs).

Group Photo of the Yifang Health Data Medical and Healthcare Business Group Team at the Conference

Li Weigang stated that over the past year, Yifang Health Data has accelerated its investments in the healthcare and wellness sector, deepening its deployment of privacy-preserving computation and artificial intelligence in smart healthcare and their application scenarios. Going forward, Yifang Health Data will continue to uphold its responsibility as a leading enterprise in privacy-preserving computation within the medical field, extensively collaborating with like-minded partners across the ecosystem to harness the power of technology for social good, thereby empowering a bright future for innovative, secure, and intelligent smart healthcare.