Objective To construct a knowledge graph of cardiovascular nursing, and to provide reference for teaching reform in Medical Nursing course.Methods Cardiovascular disease related data were extracted from a medicine website using Python to develop "Entity-Relation-Entity" triples.Based on the theory of knowledge element, texts of cardiovascular nursing in the Medical Nursing textbook were parsed and indexed.Then a knowledge graph technology was used to extract and represent the knowledge, and the Neo4j graph database was used for knowledge storage and visualization.Results A format "disease-nursing assessment-nur-sing diagnosis-nursing intervention" was developed for indexing, and a knowledge graph of cardiovascular nursing was constructed, including four types of entities (disease name, nursing assessment, nursing diagnosis, and nursing intervention) and five types of relationships (contain, compose, causal, mapping, and relation), totaling 3,242 entities and 10,013 connections.Conclusion This knowledge graph of cardiovascular nursing is scientific and systematic, and can provide reference for constructing knowledge graphs of Medical Nursing and achieving digitalization and intelligence.