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关于社交网络和健康数据共享的考虑:概述

Dana K Pasquale1, Tom Wolff2, Gabriel Varela3

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科学领域:

  • 医疗信息学 医疗信息学
  • 网络科学 网络科学
  • 临床研究 临床研究

背景情况:

  • 网络分析在临床研究中越来越多地用于各种应用,如疾病传播和患者支持.
  • 网络数据虽然有价值,但由于潜在的演性披露和重新识别,存在重大隐私风险.
  • 当前的数据共享政策旨在实现可重复性,但可能无法充分保护网络数据隐私或实现二次分析.

研究的目的:

  • 探索网络分析在健康和临床研究中的应用.
  • 评估标准临床数据共享实践对网络数据的适用性.
  • 为安全和可访问的网络数据共享提供建议.

主要方法:

  • 审查网络分析在健康和临床研究中的应用.
  • 分析与网络数据相关的隐私风险.
  • 典型的临床数据共享实践与网络数据需求的比较.
  • 制定有关数据共享的建议.

主要成果:

  • 网络分析是有价值的,但增加了重新识别的风险.
  • 对于网络数据,标准数据保护方法是不够的.
  • 平衡数据安全性,可访问性,可复制性和适应性至关重要.

结论:

  • 分享网络数据需要比典型的临床数据实践之外的定制方法.
  • 提供了建议,以促进安全和有效的网络数据共享.
  • 未来的战略必须优先考虑参与者的隐私,同时实现有价值的二次研究.