De-identified Bayesian personal identity matching for privacy-preserving record linkage despite errors: development and validation

De-identified Bayesian personal identity matching for privacy-preserving record linkage despite errors: development and validation

Abstract Background Epidemiological research may require linkage of information from multiple organizations. This can bring two problems: (1) the information governance desirability of linkage without sharing direct identifiers, and (2) a requirement to link databases without a common person-unique...

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Bibliographic Details
Main Authors: Rudolf N. Cardinal, Anna Moore, Martin Burchell, Jonathan R. Lewis
Format: Article
Language:English
Published: BMC 2023-05-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Bayesian probabilistic linkage
De-identification
Pseudonymisation
Electronic health records
Electronic medical records
Electronic patient records
Online Access:https://doi.org/10.1186/s12911-023-02176-6

Internet

https://doi.org/10.1186/s12911-023-02176-6

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