医学研究的伪名化工具:系统性审查
Hammam Abu Attieh1, Armin Müller2, Felix Nikolaus Wirth2
1Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Medical Informatics Group, Charitéplatz 1, 10117, Berlin, Germany. hammam.abu-attieh@bih-charite.de.
BMC medical informatics and decision making
|March 13, 2025
概括
选择合适的假名化工具对于安全的医学研究至关重要. 这一系统性审查将基于项目需求的可用工具进行比较,为研究人员提供有针对性的建议.
科学领域:
- 医疗信息学 医疗信息学
- 数据安全 数据安全
- 研究方法研究方法研究方法学
背景情况:
- 假名化对于安全和符合医疗数据研究至关重要.
- 使用这种技术,直接标识符将与研究数据分开.
- 有各种各样的假名化工具存在,这给研究人员带来了选择挑战.
研究的目的:
- 系统地比较现有的假名化工具.
- 帮助研究人员为他们的具体项目选择合适的工具.
主要方法:
- 根据PRISMA指南进行了系统审查.
- 在PubMed和Web of Science的文献搜索中发现了伪名化工具.
- 工具根据单个/多中心使用,项目持续时间,数据规模和集成的标准进行评估.
主要成果:
- 审查了92篇论文,确定了20个假名化工具.
- 10个工具符合纳入标准,并进行了评估.
- 发现了显著的差异,影响了工具适合于不同的研究需求.
结论:
- 假名化工具的景观是多样化的,需要仔细的选择.
- 建议包括用于集中使用的SaaS解决方案,用于追溯数据的工具,以及在各种项目大小中进行本地部署的选项.
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