Objective To develop an intelligent question answering system for health education in anesthesia nursing outpatient based on deep learning, so as to improve the convenience and accuracy of patients′ acquisition of anesthesia knowledge.Methods Anesthesia health knowledge was obtained through literature research, and three authoritative textbooks were combined to construct a knowledge graph for anesthesia nursing health education; a deep learning model was used to improve the system′s natural language understanding and reasoning capabilities.Results The constructed anesthesia health education knowledge graph network included 18,672 entities and 18,231 relationships, and the entity recognition accuracy of the intelligent question answering system for health education in anesthesia nursing outpatient was 0.97, and the intent recognition accuracy was 0.98.Conclusion This intelligent question answering system provides patients with convenient anesthesia consultation services, facilitates understanding of anesthesia related knowledge, and advances the intelligent development of anesthesia care.