[1]杨 楠,田建广,王 干,等.基于卫生监督使用需求的规范性条文知识图谱构建研究[J].医学信息,2025,38(21):49-54.[doi:10.3969/j.issn.1006-1959.2025.21.009]
　YANG Nan,TIAN Jianguang,WANG Gan,et al.Research on the Construction of Knowledge Graph of Legal ProvisionsBased on the Demand of Health Supervision[J].Journal of Medical Information,2025,38(21):49-54.[doi:10.3969/j.issn.1006-1959.2025.21.009]
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基于卫生监督使用需求的规范性条文知识图谱构建研究()

医学信息[ISSN:1006-1959/CN:61-1278/R]

卷:
38卷
期数:
2025年21期
页码:
49-54
栏目:
卫生管理信息学
出版日期:
2025-11-01

文章信息/Info

Title:
Research on the Construction of Knowledge Graph of Legal ProvisionsBased on the Demand of Health Supervision
文章编号:
1006-1959（2025）21-0049-06
作者:
杨 楠1; 田建广2; 王 干1; 孙心怡3; 朱勤忠2
1.复旦大学公共卫生学院，上海 200032；2.上海市保健医疗中心科教处，江苏 无锡 214065；3.上海市卫生健康委员会监督所医疗服务监督科，上海 200031
Author(s):
YANG Nan1;  TIAN Jianguang2;  WANG Gan1;  SUN Xinyi3;  ZHU Qinzhong2
1.School of Public Health, Fudan University, Shanghai 200032, China;2.Science and Education Department of Shanghai Healthcare Medical Center, Wuxi 214065, Jiangsu, China;3.Medical Services Surveillance Section of Shanghai Health Supervision Institute, S
关键词:
卫生监督; 法律条文; 知识图谱; Neo4j
Keywords:
Health surveillance;  Legal provision;  Knowledge graph;  Neo4j
分类号:
R197；G353.1
DOI:
10.3969/j.issn.1006-1959.2025.21.009
文献标志码:
A
摘要:
卫生健康领域的规范性条文具有复杂性、多样性、分散性的特点，不同规范性条文的使用会导致不同的监管结果，对监管效能有较为直接的影响。在条文的选择上，受人为的主观因素影响较多。为了提高监管效能、减少主观因素影响，本研究提出基于卫生监督需求分析，运用知识图谱方法系统地呈现规范性条文内容、厘清条文间的关联，达到检索和精准定位条文。在北大法宝等官方渠道检索法律法规资料，并从现行有效角度筛选，共纳入104则法律法规。通过关键知情人士访谈法分析监督员对于规范性条文图谱的使用需求，并制定相应的解决措施。采用自顶向下的方式构建图谱，经文本预处理、模式层和数据层构建、Neo4j储存图谱并实现可视化，形成共包括5043个实体、104个属性以及5111条关系的图谱。以辅助监督员做出正确、客观决策，满足监督员的基本使用需求，增强可应用性，并以此图谱为基础进行拓展以实现不同场景的应用。
Abstract:
Legal provisions in health surveillance are characterized by complexity, diversity and decentralization, cause the use of different legal provisions leads to different regulatory outcomes and has a more direct impact on regulatory effectiveness. The selection of provisions is influenced by human subjective factors. In order to improve the effectiveness of supervision and reduce the influence of subjective factors, this study proposes that based on the analysis of the demand of health supervision, knowledge graph′s method is used to systematically present the content of legal provisions and clarify the association between the provisions, so as to achieve the purpose of retrieving and accurately locating the provisions and assisting supervisors in making correct and objective decisions. Firstly, we retrieved laws and regulations from official channels such as Peking Law and screened them from the perspective of current validity, and included a total of 104 laws and regulations; secondly, we analyzed the supervisors′ needs for the use of legal provisions graph through the interview method of key informants and formulated the corresponding solution measures; finally, we adopted the top-down approach to construct the graph, and after the pre-processing of the text, construction of the schema layer and data layer, and storage of the mapping and visualization of the graph by Neo4j, the graph was finalized and the content of the legal provisions was visualized. Graph and visualization, forming a total of 5043 entities, 104 attributes and 5111 relationships. The graph of legal provisions constructed from the text can meet the basic needs of supervisors and is highly applicable; the inclusion of the provisions has been screened to ensure its normality and accuracy; it is flexible and can be expanded based on this graph to realize the application in different scenarios.

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更新日期/Last Update: 1900-01-01