Validating a novel deterministic privacy-preserving record linkage between administrative & clinical data: applications in stroke research.

ABSTRACT:

Introduction

Research 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.

Objectives

To determine the feasibility and validity of a deterministic privacy preserving data linkage protocol using homomorphically encrypted data.

Methods

Feasibility was measured by the number of records that successfully matched via direct identifiers. Validity was measured by the number of records that matched wit

SUBMITTER: Southwell A 

PROVIDER: S-EPMC10161965 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature