摘要
【目的】将国际主流的信息交换标准HL7 FHIR核心框架引入医疗领域,使医疗数据类型和疾病术语表达标准化。【方法】提出FHIR框架下医疗领域信息交换方法,阐述FHIR在医疗领域层面的含义和应用,通过本体构建、本体映射与迁移予以实现,并结合疾病本体(Disease Ontology,DO)规范疾病术语的表达。【结果】利用Python爬虫挖掘"医享网"发布的真实电子病历,在本体映射与迁移后,176份患者病例记录实现了FHIR数据格式的标准化转换以及标准疾病术语编码。【局限】未能实现异源多类型术语的语义标准化。【结论】研究成果为我国医疗领域标准体系的构建和技术手段的开发提供了一种新思路。
[Objective]This paper explores the core framework of message exchange standard——Health Level Seven(HL7)Fast Healthcare Interoperability Resources(FHIR),aiming to standardize medical data formats and disease terms in Chinese.[Methods]We proposed a healthcare data interoperability method based on the FHIR framework.Then,we combined the ontology standardization conceptual model and the Disease Ontology to regulate the expression of disease terms,with ontology construction,mapping and migration techniques.[Results]We retrieved 176 pieces electronic medical records from the YiXiang platform with a Python crawler.After ontology mapping and migration,we fully standardized the medical records and disease term coding using the expression of FHIR data format.[Limitations]We did not standardize the semantics of heterogeneous medical data of multiple types.[Conclusions]This study provides a new perspective for constructing standard medical records system and related technology in China.
作者
盛姝
黄奇
杨洋
解绮雯
秦新国
Sheng Shu;Huang Qi;Yang Yang;Xie Qiwen;Qin Xinguo(School of Information Management,Nanjing University,Nanjing 210046,China;Nanjing Research Based of National Information Management,Nanjing University,Nanjing 210093,China;Information Office,Nanjing Audit University,Nanjing 211815,China)
出处
《数据分析与知识发现》
CSSCI
CSCD
北大核心
2021年第11期13-28,共16页
Data Analysis and Knowledge Discovery
