Linkage of Electronic Health Record Data Across Two Healthcare Systems for Perinatal Health Research: A Privacy‐Preserving Approach

The hash matching approach can increase study size, patient diversity, and data completeness in a privacy-preserving manner for perinatal health studies among patients that use multiple healthcare systems.

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Publication Details

Journal
Paediatric and Perinatal Epidemiology
Published
2025-06-27
DOI
https://doi.org/10.1111/ppe.70039
Citations
1
Primary Topic
Ethics in Clinical Research
Type
article
Field-Weighted Citation Impact
1.88

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article

Linkage of Electronic Health Record Data Across Two Healthcare Systems for Perinatal Health Research: A Privacy‐Preserving Approach

Claire Smith, Elisabeth M. Seburg, Kirsten Ehresmann, Angie Farah et al.
1 citations
Paediatric and Perinatal Epidemiology
Ethics in Clinical Research
1.88
article

Linkage of Electronic Health Record Data Across Two Healthcare Systems for Perinatal Health Research: A Privacy‐Preserving Approach

Claire Smith, Elisabeth M. Seburg, Kirsten Ehresmann, Angie Farah, Abbey Sidebottom, Kristin Palmsten, Gabriela Vazquez‐Benitez, Terese A. DeFor
article en
1 citations

Abstract

The hash matching approach can increase study size, patient diversity, and data completeness in a privacy-preserving manner for perinatal health studies among patients that use multiple healthcare systems.

Paediatric and Perinatal EpidemiologyVol. 40(2)
Allina Health (US), HealthPartners (US)
Eunice Kennedy Shriver National Institute of Child Health and Human Development
Openalex Percentile: Top 14%
Ethics in Clinical Research
1.88
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