利用医疗卫生数据分类分级的研究推进数据要素探索  

Research on the classification and grading of medical and healthcare data to promote the exploration of data elements

作　　者：杨正 李鹏 周睿 于广军 YANG Zheng;LI Peng;ZHOU Rui;YU Guangjun(National Health Data Institute(Shenzhen),Shenzhen 518172,Guangdong Province,China;The Second Affiliated Hospital of the Chinese University of Hong Kong,Shenzhen,School of Medicine)

机构地区：[1]国家健康医疗大数据研究院(深圳),广东深圳518172 [2]香港中文大学(深圳)附属第二医院医学院

出　　处：《中国数字医学》2025年第4期28-34,共7页China Digital Medicine

摘　　要：目的:围绕医疗卫生数据的分类分级展开系统性研究,响应《中华人民共和国数据安全法》强制性要求,提升数据管理的效率和安全性,推进数据要素探索,促进医疗信息化的发展。方法:本研究基于《信息安全技术健康医疗数据安全指南》(GB/T 39725-2020)和《数据安全技术数据分类分级规则》(GB/T 43697-2024)等国家标准文件,构建了适用于医疗卫生领域的数据分类分级体系,结合香港中文大学(深圳)附属第二医院的实际情况,将数据分为个体身份相关数据和医疗数据两大类,并进一步细分为五个级别。此外,研究团队开发了一款分类分级管理工具,该工具集成了数据清洗、分类、分级和安全保护等功能,能够高效、准确地处理大规模数据。结果:通过实证研究,验证了数据分类分级体系和管理工具的有效性和可行性。结论:数据分类分级不仅提高了数据的可用性,还有效降低了数据泄露和滥用的风险,数据的标准化和规范化管理促进了不同系统间的互联互通,打破了信息孤岛,推动了数据要素市场的繁荣发展。Objective To conduct systematic research on the classification and grading of medical and health data,respond to the mandatory requirements of the"Data Security Law of the People's Republic of China",improve the efficiency and security of data management,promote the exploration of data elements,and facilitate the development of medical informatization.Methods Based on national standards such as"Information Security Technology-Guidelines for Health and Medical Data Security"(GB/T 39725-2020)and"Data Security Technology Rules for Data Classification and Grading"(GB/T 43697-2024),a data classification and grading system suitable for the medical and health field was constructed.In line with the actual situation of the Second Affiliated Hospital of the Chinese University of Hong Kong(Shenzhen),the data was divided into two major categories:individual identity-related data and medical data,and further classified into five levels.Additionally,the research team developed a classification and grading management tool that integrates functions such as data cleaning,classification,grading,and security protection,to efficiently and accurately process large-scale data.Results Through empirical research,the effectiveness and feasibility of the data classification and grading system and management tools were verified.Conclusion Data classification and grading can not only enhance the availability of data,but also can effectively reduce the risks of data leakage and abuse.The standardized and normalized management of data can promote the interconnection and interoperability among different systems,break down information island,and drive the prosperous development of the data element market.

关 键 词：医疗卫生数据 分类分级 数据要素 数据泄露 医疗信息化 

分 类 号：R574.6[医药卫生—消化系统] TP181[医药卫生—内科学]