医疗保健数据匿名化的方法和工具：文献综述

IF 2.4 4区计算机科学 Q2 COMPUTER SCIENCE, THEORY & METHODS

International Journal of General Systems Pub Date : 2023-02-19 DOI:10.1080/03081079.2023.2173749

Olga Vovk, Gunnar Piho, P. Ross

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引用次数: 1

摘要

医疗保健是一个快速发展的领域。然而，这种发展为提供更高质量、循证治疗创造了机会，侵犯隐私的行为也在增加。匿名可以用于安全地共享数据。本文是对匿名化方法和工具的文献综述，包括1930篇论文，其中32篇被选中进行最终评估。本文是我们团队在2020年进行的研究的更新和扩展版本（Vovk 2021a）。我们发现，尽管方法多种多样，但没有一种方法适合所有情况。某些方法被更广泛地使用，并为高级和安全的方法创造了背景。我们的研究表明，匿名化方法被用于简化和自动化的工具中。与使用所有匿名化方法相关的挑战之一是风险和数据效用之间的适当平衡，并强调匿名化过程不仅限于技术措施，而且是跨学科的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Methods and tools for healthcare data anonymization: a literature review

Healthcare is a rapidly evolving field. Such development creates opportunities to provide better quality, evidence-based treatment, however, increasing privacy violations. Anonymization can be applied to share data safely. This paper is a literature review of methods and tools for anonymization that includes 1930 papers, 32 of which were selected for the final evaluation. This article is an updated and extended version of the research conducted by our team in 2020 (Vovk 2021a). We found that despite the variety of methods, there is no single method that fits all cases. Certain methods are more widely used and create a background for advanced and secure methods. Our research shows that anonymization methods are used in tools for simplification and automation. Among challenges related to the use of all anonymization methods, is the proper balance between risk and data utility and highlight that the anonymization process is not limited to only technical measures but interdisciplinary.

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来源期刊

International Journal of General Systems 工程技术-计算机：理论方法

CiteScore

4.10

自引率

20.00%

发文量

审稿时长

6 months

期刊介绍： International Journal of General Systems is a periodical devoted primarily to the publication of original research contributions to system science, basic as well as applied. However, relevant survey articles, invited book reviews, bibliographies, and letters to the editor are also published. The principal aim of the journal is to promote original systems ideas (concepts, principles, methods, theoretical or experimental results, etc.) that are broadly applicable to various kinds of systems. The term “general system” in the name of the journal is intended to indicate this aim–the orientation to systems ideas that have a general applicability. Typical subject areas covered by the journal include: uncertainty and randomness; fuzziness and imprecision; information; complexity; inductive and deductive reasoning about systems; learning; systems analysis and design; and theoretical as well as experimental knowledge regarding various categories of systems. Submitted research must be well presented and must clearly state the contribution and novelty. Manuscripts dealing with particular kinds of systems which lack general applicability across a broad range of systems should be sent to journals specializing in the respective topics.