ArticleJAMIA open2025
Development and implementation of an entity relationship diagram for perinatal data.
Article in JAMIA open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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9 authors.
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Abstract
Objective: Severe maternal morbidity and mortality are higher in the United States than in other high-income countries, and unacceptable disparities persist. To facilitate research on these outcomes, we developed a standardized approach for extracting perinatal data from electronic health records (EHRs). Materials and Methods: To support data model building and validation, we harmonized perinatal EHR data in a common data model, building on lessons learned from multiple prior projects. Results: We developed an Entity Relationship Diagram (ERD) that aggregates perinatal EHR data at appropriate granularities (ie, mothers, infants, encounters) with indexing of observations to gestational age and time from delivery. We then developed a standard approach to extract, transform, and load pregnancy-related observations from EHRs for inclusion in PCORnet Discussion: Our ERD can facilitate cross-institutional research to identify populations at risk and prompt interventions to improve perinatal outcomes. Conclusion: A structured approach can accelerate the use of EHR data for perinatal research.
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