A practical approach to achieve private medical record linkage in light of public resources

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Atıf İçin Kopyala

KUZU M. A., Kantarcioglu M., Durham E. A., Toth C., Malin B.

JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, cilt.20, sa.2, ss.285-292, 2013 (SCI-Expanded)

• Yayın Türü: Makale / Tam Makale
• Cilt numarası: 20 Sayı: 2
• Basım Tarihi: 2013
• Doi Numarası: 10.1136/amiajnl-2012-000917
• Dergi Adı: JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
• Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus
• Sayfa Sayıları: ss.285-292
• Ankara Üniversitesi Adresli: Evet

Özet

Objective Integration of patients' records across resources enhances analytics. To address privacy concerns, emerging strategies such as Bloom filter encodings (BFEs), enable integration while obscuring identifiers. However, recent investigations demonstrate BFEs are, in theory, vulnerable to cryptanalysis when encoded identifiers are randomly selected from a public resource. This study investigates the extent to which cryptanalysis conditions hold for (1) real patient records and (2) a countermeasure that obscures the frequencies of the identifying values in encoded datasets.