使用隐私工程解决匿名医疗数据中的当代威胁

IF 12.4 1区医学 Q1 HEALTH CARE SCIENCES & SERVICES

NPJ Digital Medicine Pub Date : 2025-03-06 DOI:10.1038/s41746-025-01520-6

Sanjiv M. Narayan, Nitin Kohli, Megan M. Martin

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引用次数: 0

摘要

针对医疗保健实体的网络攻击和个人身份信息（PII）泄露是一个日益严重的威胁。然而，通过结合人工智能、分析和在线存储库的进步，现在可以在没有PII的情况下了解个人的敏感特征。我们讨论隐私威胁和隐私工程解决方案，强调针对各种医疗保健案例选择隐私增强技术。未来的解决方案必须考虑整个生命周期中的动态数据流。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Addressing contemporary threats in anonymised healthcare data using privacy engineering

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Addressing contemporary threats in anonymised healthcare data using privacy engineering

Cyber-attacks on healthcare entities and leaks of personal identifiable information (PII) are a growing threat. However, it is now possible to learn sensitive characteristics of an individual without PII, by combining advances in artificial intelligence, analytics, and online repositories. We discuss privacy threats and privacy engineering solutions, emphasizing the selection of privacy enhancing technologies for various healthcare cases. Future solutions must consider dynamic flows of data throughout their lifecycle.

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来源期刊

NPJ Digital Medicine Multiple-

CiteScore

25.10

自引率

3.30%

发文量

170

审稿时长

15 weeks

期刊介绍： npj Digital Medicine is an online open-access journal that focuses on publishing peer-reviewed research in the field of digital medicine. The journal covers various aspects of digital medicine, including the application and implementation of digital and mobile technologies in clinical settings, virtual healthcare, and the use of artificial intelligence and informatics. The primary goal of the journal is to support innovation and the advancement of healthcare through the integration of new digital and mobile technologies. When determining if a manuscript is suitable for publication, the journal considers four important criteria: novelty, clinical relevance, scientific rigor, and digital innovation.