Integrated Data Governance, Digital Health, and the Common Data Model (OMOP-CDM)

Abstract Adoption of the Observational Medical Outcomes Partnership Common Data Model (OMOP-CDM) internationally and in Australia has enabled the conversion of vast amounts of complex, and heterogeneous electronic medical record (EMR) data into a standardised structured data model. This helps simplify governance processes and facilitates rapid, repeatable cross-institution analysis through shared end-to-end analysis packages without the sharing of raw data. Combined with pseudonymisation and standardised data quality assessments, the OMOP-CDM provides a powerful model to support ethical real-world ‘big’ data research. The continued adoption of OMOP-CDM, ongoing development efforts, and the emphasis on sound governance practices all contribute to the realisation of OMOP’s utility in unlocking valuable EMR data. These factors collectively support a wide range of applications, from health service operational reporting to diverse clinical, epidemiological, and translational research projects.