A blinded evaluation of privacy preserving record linkage with Bloom filters.

<bold>Background: </bold>Privacy preserving record linkage (PPRL) methods using Bloom filters have shown promise for use in operational linkage settings. However real-world evaluations are required to confirm their suitability in practice.<bold>Methods: </bold>An extract of records from the Western Australian (WA) Hospital Morbidity Data Collection 2011-2015 and WA Death Registrations 2011-2015 were encoded to Bloom filters, and then linked using privacy-preserving methods. Results were compared to a traditional, un-encoded linkage of the same datasets using the same blocking criteria to enable direct investigation of the comparison step. The encoded linkage was carried out in a blinded setting, where there was no access to un-encoded data or a 'truth set'.<bold>Results: </bold>The PPRL method using Bloom filters provided similar linkage quality to the traditional un-encoded linkage, with 99.3% of 'groupings' identical between privacy preserving and clear-text linkage.<bold>Conclusion: </bold>The Bloom filter method appears suitable for use in situations where clear-text identifiers cannot be provided for linkage. [ABSTRACT FROM AUTHOR]