Purpose/Significance To construct a health and medical data platform to realize rapid data screening, efficient management and intelligent extraction, so as to serve clinical research and patient health management, and promote the standardized application of medical and health big data. Method/Process Based on hospital information system (HIS), clinical data repository (CDR) and other systems, the study integrates and extracts health examination data, conducts standardized management and safe storage, and constructs a standardized health management database. Artificial intelligence (AI) and big data technology are used to build deep learning models to realize multi-dimensional retrieval of health and medical data and automatic extraction of scientific research indicators. Result/Conclusion Through the data platform, health data from over 310 000 medical examination patients have been aggregated, and 3 specialized disease databases on obesity, alcohol metabolism, and occupational health of healthcare workers have been established, which can support multi-scenario applications, meet the needs of clinical scientific research data collection, and lay the foundation for personalized health management services.