Validating a novel deterministic privacy-preserving record linkage between administrative & clinical data: applications in stroke research
-
Published:2022-11-23
Issue:4
Volume:7
Page:
-
ISSN:2399-4908
-
Container-title:International Journal of Population Data Science
-
language:
-
Short-container-title:IJPDS
Author:
Southwell Alisia,Bronskill Susan,Gee Tom,Behan Brendan,Evans Susan,Mikkelsen Tom,Theriault Elizabeth,Nylen Kirk,Lefaivre Shannon,Chong Nelson,Azimaee Mahmoud,Tusevljak Natasa,Lee Douglas,Swartz Richard
Abstract
IntroductionResearch data combined with administrative data provides a robust resource capable of answering unique research questions. However, in cases where personal health data are encrypted, due to ethics requirements or institutional restrictions, traditional methods of deterministic and probabilistic record linkages are not feasible. Instead, privacy-preserving record linkages must be used to protect patients' personal data during data linkage.
ObjectivesTo determine the feasibility and validity of a deterministic privacy preserving data linkage protocol using homomorphically encrypted data.
MethodsFeasibility was measured by the number of records that successfully matched via direct identifiers. Validity was measured by the number of records that matched with multiple indirect identifiers. The threshold for feasibility and validity were both set at 95%. The datasets shared a single, direct identifier (health card number) and multiple indirect identifiers (sex and date of birth). Direct identifiers were encrypted in both datasets and then transferred to a third-party server capable of linking the encrypted identifiers without decrypting individual records. Once linked, the study team used indirect identifiers to verify the accuracy of the linkage in the final dataset.
ResultsWith a combination of manual and automated data transfer in a sample of 8,128 individuals, the privacy-preserving data linkage took 36 days to match to a population sample of over 3.2 million records. 99.9% of the records were successfully matched with direct identifiers, and 99.8% successfully matched with multiple indirect identifiers. We deemed the linkage both feasible and valid.
ConclusionsAs combining administrative and research data becomes increasingly common, it is imperative to understand options for linking data when direct linkage is not feasible. The current linkage process ensured the privacy and security of patient data and improved data quality. While the initial implementations required significant computational and human resources, increased automation keeps the requirements within feasible bounds.
Publisher
Swansea University
Subject
Information Systems and Management,Health Informatics,Information Systems,Demography
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献