摘要
针对电子病历质控存在的问题,阐述了机器学习、自然语言处理(NLP)、图像识别、专家系统等人工智能核心技术。论述了质控专家与人工智能质控的关系、人工智能质控目标、人工智能质控隐私保护等问题,以期为提高电子病历质控水平提供参考。
In view of the problems existing in the quality control of electronic medical records,the paper expounded artificial intelligence core technologies such as machine learning,Natural Language Processing(NLP),image recognition and expert system.It discussed the relationship between quality control experts and artificial intelligence quality control,the objective of artificial intelligence quality control,and the privacy protection of artificial intelligence quality control,in order to provide reference for improving the quality control level of electronic medical records.
作者
孟岩
孙雪梅
王雪
冀冰心
苏金菲
靳萍
李姗姗
MENG Yan;SUN Xuemei;WANG Xue(Xuanwu Hospital Capital Medical University,Beijing,100053,China;不详)
出处
《中国卫生质量管理》
2021年第12期63-65,共3页
Chinese Health Quality Management
关键词
人工智能
电子病历质控
机器学习
自然语言处理(NLP)
质量与信息化
Artificial Intelligence
Electronic Medical Records Quality Control
Machine Learning
Natural Language Processing(NLP)
Quality and Informatization
