Design and rationale of the Einstein Cardiovascular Data Registry (E-CDR): an OMOP Common Data Model-based platform for real-world cardiovascular research

The Einstein Cardiovascular Data Registry (E-CDR) is an institutional longitudinal registry designed to generate high-quality real-world evidence on cardiovascular diseases and outcomes. Built on anonymized data structured within the Observational Medical Outcomes Partnership Common Data Model (OMOP-CDM), the registry provides a standardized infrastructure for observational cardiovascular research. The E-CDR is a retrospective, single-center registry integrating anonymized clinical data collected between January 2017 and November 2025 from electronic health records, administrative systems, laboratory databases, imaging repositories, and other institutional sources. The registry includes an estimated initial cohort of approximately 131,000 eligible patients. Data are harmonized through standardized extract, transform, and load (ETL) processes and mapped to the OMOP-CDM, enabling interoperability, reproducibility, and scalability. The registry captures demographic characteristics, diagnoses, procedures, laboratory measurements, medications, hospitalizations, and clinical outcomes. The E-CDR supports longitudinal characterization of cardiovascular diseases, evaluation of treatment patterns and clinical outcomes, identification of predictors of adverse events, and development of statistical and machine learning models. The use of the OMOP-CDM facilitates collaboration with international observational research networks while promoting methodological transparency and reproducibility. The E-CDR provides a standardized and scalable platform for generating cardiovascular real-world evidence and supporting future observational research, quality improvement initiatives, and multicenter collaborations.