摘要
【目的】结合中文语义分析,提出一种计算机辅助ICD-11编码方法,提高编码工作效率。【方法】基于图模型对ICD实体关系和编码规则进行建模,并提出改进的语义相似度计算方法,实现ICD-11候选编码置信度计算,产生候选编码供编码员选择。【结果】以某医院已编码数据集进行实验分析,结果表明本文方法优于已有的ICD编码方法。该方法编码成功率在辅助模式下达到0.42,在精准模式下则达到0.73。【局限】ICD-11中文版有限的翻译信息使得无法利用更多语义信息改善编码准确度。【结论】本文研究成果能提高编码员工作效率、改善病案质量,有利于促进中国医疗信息化发展。
[Objective] This study proposes a computer-assisted coding method based on the 11 th Revision of International Classification of Diseases(ICD-11) and Chinese semantic analysis, aiming to improve the efficiency of medical coding. [Methods] First, we constructed a new model for the entities and relations in ICD-11 based on traditional graphic models. Then, we used an improved measurement for semantic similarity to estimate the confidence of ICD-11 candidate codes. Finally, the proposed model generated candidate ICD codes. [Results] We examined our model with a coded hospital dataset, and found the proposed method outperformed existing ones.Our method achieved a success rate of 42% in assisted mode and 73% in precise mode. [Limitations] The Chinese version of ICD-11 does not allow us to leverage more Chinese semantics information to improve coding precision. [Conclusions] The proposed method improves the efficiency of coders and quality of medical records.It also promotes the development of Chinese medical informatics.
作者
张润彤
陈东华
赵红梅
朱晓敏
Zhang Runtong;Chen Donghua;Zhao Hongmei;Zhu Xiaomin(School of Economics and Management,Beijing Jiaotong University,Beijing 100044,China;Peking University People’s Hospital,Beijing 100044,China;School of Mechanical,Electronic and Control Engineering,Beijing Jiaotong University,Beijing 100044,China)
出处
《数据分析与知识发现》
CSSCI
CSCD
北大核心
2020年第4期44-55,共12页
Data Analysis and Knowledge Discovery
基金
北京市社会科学基金研究基地重点项目“北京市医药分开综合改革实施对北京医药物流产业的影响研究”(项目编号:18JDGLA017)
国家自然科学基金重点项目“大数据驱动的智慧医疗健康管理创新”(项目编号:71532002)
国家社会科学基金重大项目“共享经济下构建我国分级医疗体系研究”(项目编号:18ZDA086)的研究成果之一。
关键词
ICD-11
国际疾病分类
中文语义
疾病编码系统
计算机辅助编码
ICD-11
International Classification of Diseases
Chinese Semantics
Medical Coding System
Computer-Assisted Coding
