摘要
利用本体、知识图谱与后结构化等人工智能技术,建立医学术语本体和疾病知识图谱,形成智能化质控规则引擎体系,实现临床电子病历质量评审的全面性和智能性。实践证明该系统应用能够高效地进行电子病历形式质控和内涵质控,降低差错率。
The Artificial Intelligence(AI)technologies are used to build of medical terminology ontologies and disease knowledge mappings,such as ontology,knowledge mapping and post structured technologies.Engine system of intelligent quality control is formed and comprehensive and intelligent quality review of Electronic Medical Records(EMR)is realized.Practices show that the application of the system can efficiently carry out form and content quality control of EMR and reduce error rate.
作者
陈强
丁腊春
王译
殷伟东
CHEN Qiang;DING Lachun;WANG Yi;YIN Weidong(The Second Peopled Hospital of Changzhou,Changzhou 213164,China;The Fourth People Hospital of Zhenjiang,Zhenjiang 212001,China;The Health Information Center of Nanjing,Nanjing 210003,China)
出处
《医学信息学杂志》
CAS
2020年第6期63-65,89,共4页
Journal of Medical Informatics
基金
江苏省重点研发计划重大科技示范“基于海量文献及诊疗指南的智慧孕产健康管理平台科技示范”(项目编号:BE2017700)
“基于大数据和人工智能的‘南京都市圈’慢性非传染病综合防控云平台科技示范”(项目编号:BE2018607)
关键词
人工智能
大数据
知识图谱
后结构化
电子病历
Artificial Intelligence(AI)
big data
knowledge graph
post structured
Electronic Medical Records(EMR)
