引用本文:娄 培 ,刘 莉,陈先来,安 莹,李忠民.基于问卷调查的医疗数据分类分级研究[J].中华医学图书情报杂志,2018,27(6):22-27.
基于问卷调查的医疗数据分类分级研究
Questionnaire investigation-based categorization and classification of medical data
DOI:10.3969/j.issn.1671-3982.2018.06.004
中文关键词:  大数据  分类分级  数据安全  医疗数据  问卷调查
英文关键词:Big data  Categorization and classification  Data security  Healthcare data  Questionnaire survey
基金项目:国家重点研发计划“精准医学研究”专项“精准医学大数据处理和利用的标准化技术体系建设”项目子课题《精准医学大数据体系的规范化应用与评价》(2016YFC0901705)研究成果之一
作者单位
娄 培  中南大学信息安全与大数据研究院湖南 长沙 410000 
刘 莉  
陈先来  
安 莹  
李忠民  
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中文摘要:
      目的:针对医疗卫生机构在运营过程中产生信息众多而医疗行业尚没有明确的数据保护方案的问题,对底层数据进行分类分级,进而保护患者隐私等重要信息。方法:分类整理电子病历中涉及的数据项,对每类中包含的数据项进行抽象,设计医疗数据分类分级的调查问卷对相关人员进行调研。结果:根据问卷结果,结合数据分析方法,确定医疗数据的分类分级,对人口学、标识、卫生机构人员、卫生费用、药物、检查等11个大类赋予0级可公开、1级数据关系个人信息安全、2级数据涉及机构信息安全3种不同级别。结论:为后续的访问控制或跨库联合识别奠定了基础。
英文摘要:
      Objective To categorize and classify the basic medical data and protect the important information of patients such as their privacy as massive information was generated in medical and health institutions and no definite data protection plan has been worked out by the medical industry. Methods The data were extracted from EMR and the related persons were investigated by designing questionnaire for investigating the categorization and classification of medical data. Results The data extracted from EMR were categorized and classified according to the questionnaire investigation results combined with data analysis methods. The 11 categories of the data extracted from EMR, such as demography, markers, health institution personals, health expenses, drugs and inspection, were given 0 level for publicity, 1 level for data-related individual information security and 2 level for data involving institutional information security. Conclusion Questionnaire investigation-based categorization and classification of data extracted from EMR lays a solid foundation for the successive access-controlled identification or cross database joint identification.
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