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Related Experiment Video

Updated: Jan 14, 2026

Instrumentation of Near-term Fetal Sheep for Multivariate Chronic Non-anesthetized Recordings
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Development and implementation of an entity relationship diagram for perinatal data.

Alison M Stuebe1, Randall Blanco2, Michael Horvath3

  • 1Obstetrics and Gynecology, UNC School of Medicine, Maternal and Child Health, Gillings School of Global Public Health, Chapel Hill, NC, 27599, United States.

JAMIA Open
|October 20, 2025
PubMed
Summary

A new standardized method for extracting perinatal data from electronic health records (EHRs) was developed. This approach aims to improve research on maternal health outcomes and reduce disparities in the United States.

Keywords:
entity relationship diagrammaternityperinatalpregnancy

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Area of Science:

  • Perinatal health research
  • Health informatics
  • Clinical data standardization

Background:

  • Severe maternal morbidity and mortality rates in the U.S. exceed those in other high-income nations.
  • Significant disparities persist in maternal health outcomes.
  • Electronic Health Records (EHRs) contain valuable data for research but require standardized extraction methods.

Purpose of the Study:

  • To develop a standardized approach for extracting perinatal data from EHRs.
  • To facilitate research on severe maternal morbidity and mortality.
  • To address disparities in perinatal outcomes.

Main Methods:

  • Harmonized perinatal EHR data into a common data model.
  • Developed an Entity Relationship Diagram (ERD) for aggregating data at granular levels (mothers, infants, encounters).
  • Indexed observations by gestational age and time from delivery.
  • Created a standard extract, transform, and load (ETL) process for pregnancy-related observations.

Main Results:

  • An ERD was created to aggregate perinatal EHR data effectively.
  • A standardized ETL process was developed for EHR data.
  • The approach enables data inclusion in the PCORnet® Common Data Model.

Conclusions:

  • The developed ERD facilitates cross-institutional perinatal research.
  • This structured approach can identify at-risk populations and prompt interventions.
  • Standardized EHR data extraction accelerates perinatal research and can improve outcomes.