Purpose/Significance Through the establishment of a quality control system for electronic medical record(EMR)con-tent,the standardization and normalization of medical record writing is realized,and the quality of hospital medical record is improved.Method/Process The intelligent medical data center is built based on hospital medical data,and the knowledge base and rule base with tumor specialty characteristics are formed by combining natural language processing(NLP)and machine learning technology.The new quality control mode of"pre-audit,comprehensive coverage,process supervision and closed-loop management"of EMR is realized.Result/Conclusion After the application of the medical record quality control system based on NLP,the quality control coverage rate in-creased from 1%to 100%,and the rate of class A medical records increased to more than 96%,with good real-time and accuracy,providing a solid information foundation for the high-quality development of hospital medical records.
关键词
内涵质控/自然语言处理/肿瘤知识库/电子病历
Key words
content quality control/natural language processing/tumor knowledge base/electronic medical record
维普
万方数据