Beijing health big-data center and Yidu Tech launch a joint intelligent clinical research lab, exploring three directions for data intelligence in trials
Synopsis
Beijing Municipal Health Big Data and Policy Research Center and Yidu Tech signed a cooperation agreement during the 2026 China International Fair for Trade in Services to build a joint laboratory for intelligent clinical research. The two sides combine Beijing's health-data foundation and governance experience with Yidu Tech's medical data governance and AI application capabilities, exploring three priority directions: compliant use of health and medical data, drug clinical trials and medical research services, and training in health data and AI. The lab is positioned as a collaborative innovation platform, and no concrete results have been announced.
Interpretation
Beijing Municipal Health Big Data and Policy Research Center and Yidu Tech signed a cooperation agreement to build a collaborative innovation platform called the joint laboratory for intelligent clinical research, putting a regional health-data foundation and a company's medical data intelligence capabilities into the same effort. The two sides had already worked together on health and medical data standards and on data development and utilization, and the joint lab is described as a further deepening of that long-running collaboration. The signing took place during the 2026 China International Fair for Trade in Services, with Center director Guo Moning and Yidu Tech government-medical senior vice president Li Jigang signing on behalf of the two sides, witnessed by Deng Kai, head of the informatization and big data division of the Beijing Municipal Health Commission, and Yidu Tech co-founder and CEO Xu Jiming.
The laboratory organizes its work around three priority directions: research on compliant use of health and medical data, drug clinical trials and medical research services, and training in health and medical data and artificial intelligence. The compliance direction covers policy recommendations, clinical data de-identification and governance, high-quality dataset construction, standard data model construction, data annotation and quality control, data classification and grading, and analysis application management; the clinical direction covers indication selection and value prediction, feasibility analysis and optimization of trial protocols, clinical research participant recruitment, regional-data-based intelligent quality control, remote monitoring, and adverse-reaction surveillance. These directions are proposed through industry-academia-research-teaching collaboration, aimed at exploring health-data development and application models suited to Beijing's actual needs, with planned services for real-world research including data processing, data analysis, data modeling, specialty disease database construction and value assessment.
Perspective
This report covers the cooperation agreement signed during the 2026 China International Fair for Trade in Services and the research directions announced by both sides, for readers interested in regional health-data governance and the digitalization of clinical research; the agreement itself does not constitute any completed deliverable.
The announcement does not state the laboratory's construction timeline, investment scale, staffing or first projects, nor any milestone targets or assessment metrics; all three directions are phrased as exploration and research practice.
