Expanding the OMOP Common Data Model to Support Perinatal Research in Network Studies
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View abstract on PubMed
Summary
This summary is machine-generated.A new perinatal expansion for the Observational Medical Outcomes Partnership common data model (OMOP-CDM) was developed to improve pregnancy research. This structured data model facilitates network studies on maternal and infant health outcomes.
Area Of Science
- Health Informatics
- Perinatal Epidemiology
- Data Standardization
Background
- The Observational Medical Outcomes Partnership common data model (OMOP-CDM) is widely used for large-scale health data analysis.
- Current OMOP-CDM lacks a standardized structure for representing pregnancy episodes, hindering perinatal network research.
Purpose Of The Study
- To develop and implement a perinatal expansion for the OMOP-CDM.
- To facilitate standardized data capture and analysis for perinatal network studies.
Main Methods
- Collaborative development involving domain experts and stakeholders.
- Adherence to OMOP-CDM ontological framework principles for structure and vocabularies.
- Implementation and testing in SIDIAP and Norwegian databases with a quality control diagnostics package.
Main Results
- A perinatal expansion including pregnancy and infant tables with standardized vocabularies was created.
- Quality assessment confirmed accurate capture of perinatal characteristics in tested databases.
- Descriptive analysis provided key metrics on pregnancies, outcomes, gestational length, and birth weight.
Conclusions
- The developed perinatal expansion enhances OMOP-CDM for perinatal research, enabling interoperability and facilitating network studies.
- A publicly available diagnostics package aids in implementation testing and data quality assessment.
- This expansion is expected to advance research on pregnancy and related outcomes.
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