Purpose/Significance Aiming at the problems of low efficiency in multimodal data management and insufficient real-time diagnosis and treatment decision support in the neurocritical care scenario, a neurocritical intensive care database system is designed and constructed for the intelligent assisted diagnosis and treatment. Method/Process The expert consultation method is adopted to analyze the database construction requirements. MySQL8.0 is taken as the core database system. Combined with the WebSocket protocol and high-performance hardware environment, the efficiency of data collection and transmission is improved. Standardized service interfaces are implemented to ensure seamlessly integrated with the hospital information system. Result/Conclusion As of April 2025, the database collects an average of approximately 2.13 million pieces of data per month. The database operates well and stably, solving the problem that doctors cannot track the long-term physiological trends of patients after surgery. The average data retrieval time has been shortened from 10 minutes to 10 seconds, effectively improving the work efficiency of doctors.