Purpose/Significance To discuss and look forward to the effect and key technologies of applying large language model to medical record generation, so as to improve the efficiency of clinical work.Method/Process The paper reviews the development of medical record generation technology, from traditional natural language processing(NLP)methods to deep learning methods, and then to innovative applications of large language models(LLM), and discusses the key technical routes.Result/Conclusion The future research direction mainly includes the generation of medical records based on context learning, the generation of medical records based on retrieval-augmented generation and the generation of medical records based on mixture of experts.