Purpose/Significance To construct an artificial intelligence-driven medical record management system，and to enhance medical quality and service efficiency. Method/Process By leveraging deep learning technologies such as optical character recognition，natural language processing (NLP)，and convolutional neural network，and through core modules including data collection and preprocessing，model-assisted classification，quality control and review，secure archiving，and intelligent applications，functions such as medical record borrowing and tracking，statistical queries，intelligent reporting，and research assistance are realized. Result/Conclusion The system restructures the medical record management model，optimizes operational processes，and provides robust support for improving medical quality and service efficiency.