信息资源管理学报 ›› 2020, Vol. 10 ›› Issue (4): 70-78.doi: 10.13365/j.jirm.2020.04.070

• 研究论文 • 上一篇    下一篇

医疗数据隐私泄露容忍度的计量分析

臧国全1,2 张凯亮3   

  1. 1.郑州大学信息管理学院,郑州,450001;     2.郑州大学数据科学研究所,郑州,450001;     3.郑州大学政治与公共管理学院,郑州,450001
  • 出版日期:2020-07-26 发布日期:2020-07-26
  • 作者简介:臧国全,博士,教授,研究方向为数字保存,Email:zangguoquan@zzu.edu.cn;张凯亮,博士研究生,研究方向为公共信息资源管理,Email:779015223@qq.com。
  • 基金资助:
    本文系国家自然科学基金项目“数字保存的风险型元数据与风险监控研究”(71673255)的研究成果之一。

Quantitative Analysis of Privacy Leakage Tolerance for Medical Data

Zang Guoquan1,2 Zhang Kailiang3   

  1. 1. School of Information Management,Zhengzhou University,Zhengzhou,450001; 2. Research Institute of Data Science,Zhengzhou University,Zhengzhou,450001; 3. School of Politics and Public Administration,Zhengzhou University,Zhengzhou,450001
  • Online:2020-07-26 Published:2020-07-26

摘要: 分析医疗大数据情境下,患者对其医疗数据的隐私泄露容忍行为。参考已有的隐私研究框架,从数据类型敏感性、泄露途径敏感性和使用目的敏感性三个维度测量患者对其医疗数据的隐私泄露容忍度。改造BDM机制,实现患者对其医疗数据的价值认知与隐私泄露容忍度的转换,据此分析患者的隐私容忍行为。不同病种患者的隐私泄露容忍度存在显著差异,传染类(艾滋病除外)、精神类、恶性肿瘤类、心脑血管类医疗数据的隐私泄露容忍度分别为0.135、0.238、0.348、0.435。同一患者对用于科学研究目的的隐私泄露容忍度显著高于商业使用目的。将风险容忍度引入医疗数据泄露情境,测量患者对其医疗数据泄露的容忍度,为医院和其他机构在制定合理使用医疗数据、保护患者个人隐私的政策方面提供参考。

关键词: 医疗数据, 隐私泄露, 容忍度, BDM机制, 隐私政策, 隐私保护

Abstract: This paper aims to analyze patient's privacy leakage tolerance of their medical data in the context of medical big data. Referred to the existing privacy research frameworks, patient's privacy leakage tolerance of their medical data was measured from three dimensions: data type sensitivity, leakage path sensitivity, and use purpose sensitivity. The patient's privacy tolerance behavior is analyzed by modifying the BDM mechanism and converting the patient's value perception and the privacy leakage tolerance of their medical data. There are significant differences in the privacy leakage tolerance among patients with different diseases. The privacy leakage tolerance of infectious (except AIDS), mental, malignancy, and cardio-vascular disorder are 0.135, 0.238, 0.348, and 0.435, respectively. The same patient's privacy leakage tolerance in scientific research is significantly higher than commercial use.It may provide a reference for hospitals and other institutions in formulating policies for the rational use of medical data and protecting patient's personal privacy with introducing risk tolerance into the context of medical data leakage and measuring the patient's awareness of the privacy leakage tolerance of their medical data.

Key words: Medical data, Privacy leakage, Tolerance, BDM Mechanism, Privacy policy, Privacy protection

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