A blinded evaluation of privacy preserving record linkage with Bloom filters.
BMC Med Res Methodol
; 22(1): 22, 2022 01 16.
Article
em En
| MEDLINE
| ID: mdl-35034615
ABSTRACT
BACKGROUND:
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.METHODS:
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'.RESULTS:
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.CONCLUSION:
The Bloom filter method appears suitable for use in situations where clear-text identifiers cannot be provided for linkage.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Segurança Computacional
/
Privacidade
Tipo de estudo:
Prognostic_studies
Limite:
Humans
País/Região como assunto:
Oceania
Idioma:
En
Ano de publicação:
2022
Tipo de documento:
Article