Based on actual Chinese electronic medical records and web crawling data,the paper constructs an entity recognition model of medical records,determines entity relationships,presents the visualization of knowledge graph,builds a question and answer system based on rule matching. It explores the construction method of knowledge graph and knowledge system applicable to Chinese electronic medical records, improves the work efficiency of hospital statistics department related audit, and lays a foundation for the application of artificial intelligence technology in the medical and health industry.