Expanding the OMOP Common Data Model to Support Perinatal Research in Network Studies

ABSTRACT Objectives The Observational Medical Outcomes Partnership common data model (OMOP‐CDM) is a useful tool for large‐scale network analysis but currently lacks a structured approach to pregnancy episodes. We aimed to develop and implement a perinatal expansion for the OMOP‐CDM to facilitate pe...

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Bibliographic Details
Published in:	Pharmacoepidemiology and drug safety Vol. 34; no. 2; pp. e70106 - n/a
Main Authors:	Abellan, Alicia, Burn, Edward, Trinh, Nhung T. H., Burkard, Theresa, Callahan, Alison, Fernández‐Bertolín, Sergio, Hurley, Eimir, Rodriguez, Clara, Segundo, Elena, Morales, Daniel R., M. E. Nordeng, Hedvig, Duarte‐Salles, Talita
Format:	Journal Article
Language:	English
Published:	Chichester, UK John Wiley & Sons, Inc 01.02.2025 Wiley Subscription Services, Inc
Subjects:	Biomedical Research Birth weight Common Data Elements common data model Computer programs Data models Databases, Factual - standards Databases, Factual - statistics & numerical data Female Humans Infant, Newborn Infants medical ontologies Norway - epidemiology OMOP Original Perinatal Care perinatal epidemiology Pregnancy Pregnancy Outcome - epidemiology Quality control Norway common data model perinatal epidemiology OMOP medical ontologies pregnancy
ISSN:	1053-8569, 1099-1557, 1099-1557
Online Access:	Get full text
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