Limited privacy protection and poor sensitivity: Is it time to move on from the statistical linkage key-581?
dc.contributor.author | Randall, Sean | |
dc.contributor.author | Ferrante, Anna | |
dc.contributor.author | Boyd, James | |
dc.contributor.author | Brown, Adrian | |
dc.contributor.author | Semmens, James | |
dc.date.accessioned | 2017-01-30T12:54:34Z | |
dc.date.available | 2017-01-30T12:54:34Z | |
dc.date.created | 2016-06-13T19:30:14Z | |
dc.date.issued | 2016 | |
dc.identifier.citation | Randall, S. and Ferrante, A. and Boyd, J. and Brown, A. and Semmens, J. 2016. Limited privacy protection and poor sensitivity: Is it time to move on from the statistical linkage key-581?. Health Information Management Journal. 45 (2): pp. 71-79. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/26642 | |
dc.identifier.doi | 10.1177/1833358316647587 | |
dc.description.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. | |
dc.publisher | Health Information Management Association of Australia | |
dc.title | Limited privacy protection and poor sensitivity: Is it time to move on from the statistical linkage key-581? | |
dc.type | Journal Article | |
dcterms.source.title | Health Information Management Journal | |
curtin.department | Centre for Population Health Research | |
curtin.accessStatus | Fulltext not available |
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