Randall Sean M, Ferrante Anna M, Boyd James H, Brown Adrian P, Semmens James B
Centre for Population Health Research, Curtin University, Australia
Centre for Population Health Research, Curtin University, Australia.
Health Inf Manag. 2016 Aug;45(2):71-9. doi: 10.1177/1833358316647587. Epub 2016 May 13.
The statistical linkage key (SLK-581) is a common tool for record linkage in Australia, due to its ability to provide some privacy protection. However, newer privacy-preserving approaches may provide greater privacy protection, while allowing high-quality linkage.
To evaluate the standard SLK-581, encrypted SLK-581 and a newer privacy-preserving approach using Bloom filters, in terms of both privacy and linkage quality.
Linkage quality was compared by conducting linkages on Australian health datasets using these three techniques and examining results. Privacy was compared qualitatively in relation to a series of scenarios where privacy breaches may occur.
The Bloom filter technique offered greater privacy protection and linkage quality compared to the SLK-based method commonly used in Australia.
The adoption of new privacy-preserving methods would allow both greater confidence in research results, while significantly improving privacy protection.
统计链接密钥（SLK - 581）是澳大利亚记录链接的常用工具，因为它能够提供一定的隐私保护。然而，更新的隐私保护方法可能会提供更强的隐私保护，同时允许进行高质量的链接。
从隐私和链接质量两方面评估标准的SLK - 581、加密的SLK - 581以及使用布隆过滤器的更新的隐私保护方法。
通过使用这三种技术对澳大利亚健康数据集进行链接并检查结果来比较链接质量。针对一系列可能发生隐私泄露的场景，定性比较隐私情况。
与澳大利亚常用的基于SLK的方法相比，布隆过滤器技术提供了更强的隐私保护和链接质量。
采用新的隐私保护方法既能提高对研究结果的信心，又能显著改善隐私保护。
