Abstract: Liver disease and liver cancer are common diseases that threaten the life and health of Chinese people. Big data and artificial intelligence have become important support to improve the level of clinical diagnosis and treatment and the ability of clinical service. However, the development and application of big data is not yet mature, and there are mainly the following problems: (1) massive health and medical data are of various types and sources, but these data are scattered among the heterogeneous platforms of various medical centers, lacking integrated data storage and analysis platforms; (2) different centers have various data standards, data concepts, personal expression habits and other problems, all of which make data difficult to process and cannot be fully integrated. Therefore, large-scale health care data is not equal to big data on health medicine. In this study, based on the practical experience in the construction of big data platform by Southeast Big Data Institute of Hepatobiliary Health, the author team proposes standardization system of construction of liver disease and liver cancer big data, which includes a big data platform planned to build by big data alliance, perfect standard system, standardized data management process, and the big data application combining evidence-based medicine and emerging technologies. This system provides a new model for the high-quality development of the healthcare big data industry, and can be promoted to other diseases, contributing to the construction of a healthy China.