Construction of a Quality Control System for Oncology Medical Records Based on Natural Language Processing
10.3969/j.issn.1673-6036.2024.02.013
- VernacularTitle:基于自然语言处理的肿瘤专科病历质控系统建设
- Author:
Weiwei LIU
1
;
Lijun WANG
;
Juan PANG
;
Dan WANG
;
Fanxiu HENG
Author Information
1. 北京大学肿瘤医院暨北京市肿瘤防治研究所信息技术服务部/恶性肿瘤发病机制及转化研究教育部重点实验室 北京 100142
- Keywords:
content quality control;
natural language processing;
tumor knowledge base;
electronic medical record
- From:
Journal of Medical Informatics
2024;45(2):77-81,91
- CountryChina
- Language:Chinese
-
Abstract:
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.
