Abstract
Background:
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.
Objective:
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.
Method:
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.
Results:
The Bloom filter technique offered greater privacy protection and linkage quality compared to the SLK-based method commonly used in Australia.
Conclusion:
The adoption of new privacy-preserving methods would allow both greater confidence in research results, while significantly improving privacy protection.
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