Zhitong Finance App learned that at noon today, Yidu Technology (02158) issued a voluntary announcement stating that its affiliate Yidu Cloud (Beijing) Technology Co., Ltd. won the bid for the next-generation big data platform project at the First Affiliated Hospital of Chongqing Medical University, with a total project amount of about RMB 13.29 million.
Winning the bid is another business development for Yidu Technology in the field of data platform construction for large medical institutions. In recent years, Yidu Technology has continued to expand its business around medical data management, clinical research and medical artificial intelligence applications, and has gradually formed a business layout from data infrastructure to clinical intelligent applications. Related solutions have been implemented in 133 leading hospitals.
As an important part of the digital construction of large-scale medical institutions, the hospital big data platform undertakes functions such as multi-source medical data integration, data standardization management, and data resource utilization. As medical artificial intelligence gradually extends to core scenarios such as clinical diagnosis and treatment, scientific research innovation, and hospital operation and management, the focus of medical data infrastructure construction is also expanding from data aggregation to data quality improvement, business collaboration, and intelligent application. High-quality, standardized medical data has become an important foundation for medical institutions to promote digital transformation and the application of artificial intelligence.
As the country continues to advance the development of “artificial intelligence+healthcare” and strengthen the construction of high-quality data sets in the health field, Yidu Technology is accelerating the exploration of the deep integration of artificial intelligence and medical big data technology. Just a few days ago, the company and Zhongda Hospital affiliated to Southeast University released the results of a high-quality data base for medical world models at the 2026 Physical AI and World Model Conference, and proposed a dual-track data system with “same source complementarity and service hierarchy”. Through collaborative construction of structured task accuracy data sets and large model corpus, the company supports accurate verification of specialty models and medical knowledge understanding and reasoning of large models, respectively, and explores practical paths to support medical world model development and application implementation with a high-quality data base.
In terms of clinical application, Yidu Technology announced the Yidu Zhixun TCM evidence-based smart “Xiaohuangqi” at the 2026 World Traditional Medicine Conference. The smart device targets clinical scenarios of traditional Chinese medicine and provides doctors with intelligent evidence-based support covering functions such as ancient Chinese medicine book search, traditional Chinese medicine guide document traceability, auxiliary dialectics, traditional Chinese medicine prescription search, and translation of traditional Chinese medicine terms, to help the inheritance and innovation of traditional Chinese medicine, modern clinical application and internationalization development.
The foundation of medical AI is based on a data foundation. The big data platform project of the top three hospitals is not only a litmus test for the technical capabilities, compliance systems, and delivery capabilities of service providers, but also an important testing ground for cutting-edge medical AI technology to become real clinical. According to industry analysts, winning the bid has further consolidated Yidu Technology's benchmark map in the top three hospitals in the southwest region. As smart hospital construction continues to deepen, enterprises with both underlying data governance capabilities and multi-scenario AI product matrices are expected to continue to unleash growth potential and drive high-quality development of the medical industry with data elements.