Construction and Application of AI Medical Records Connotation Quality Control System
Objective Through real-time monitoring of hospital medical behavior,the whole process,systematic and intelligent management of the connotation quality of medical records can be realized,and the scientific and refined level of medical records quality management can be improved.Methods By integrating multi-source heterogeneous data in multiple business systems of hospitals,artificial intelligence technologies such as natural language processing and machine learning are used for structured data processing,and a sound quality control rule system and medical records quality scoring system are established to monitor and evaluate medical behavior in real time and comprehensively track medical records quality.Results The closed-loop management from"system automatically sends quality control message-clinical rectification-expert re-quality control"has been realized,and the quality control management system of"advance reminder","supervision"and"post-event quality control"has been truly achieved,effectively improving the quality of medical records.Conclusion The construction of the AI medical records in-depth quality control system has achieved a closed-loop of medical records in-depth quality control from data to management to clinical practice,providing data support and assurance for the high-quality development of hospital clinical services.
quality of medical recordsartificial intelligencemedical records connotation quality controlintelligent management
NETL
NSTL
万方数据
