Derivation and validation of an algorithm for maternal–child linkage in electronic health records

We derived and validated a probabilistic maternal-child linkage algorithm using routinely collected EHR data elements that could benefit future observational research in maternal-child health.

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Publication Details

Journal
Journal of the American Medical Informatics Association
Published
2025-09-25
DOI
https://doi.org/10.1093/jamia/ocaf177
Primary Topic
Healthcare Systems and Technology
Type
article
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article

Derivation and validation of an algorithm for maternal–child linkage in electronic health records

John Price, Eneida A. Mendonça, Shaun J. Grannis, Colin Rogerson et al.
Journal of the American Medical Informatics Association
Healthcare Systems and Technology
article

Derivation and validation of an algorithm for maternal–child linkage in electronic health records

John Price, Eneida A. Mendonça, Shaun J. Grannis, Colin Rogerson, Christopher W. Bartlett, Lang Li
article en

Abstract

We derived and validated a probabilistic maternal-child linkage algorithm using routinely collected EHR data elements that could benefit future observational research in maternal-child health.

Journal of the American Medical Informatics AssociationVol. 33(2)
Cincinnati Children's Hospital Medical Center (US), Nationwide Children's Hospital (US), Regenstrief Institute (US), Indiana University School of Medicine, The Ohio State University (US), Indiana University – Purdue University Indianapolis (US), University of Cincinnati (US)
Openalex Percentile: Top 66%
Healthcare Systems and Technology
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