Journal article
The OMOP common data model in Australian primary care data: Building a quality research ready harmonised dataset
Roger Ward, Christine Mary Hallinan, David Ormiston-Smith, Christine Chidgey, Dougie Boyle
PLoS ONE | Public Library of Science (PLoS) | Published : 2024
Abstract
Background The use of routinely collected health data for secondary research purposes is increasingly recognised as a methodology that advances medical research, improves patient outcomes, and guides policy. This secondary data, as found in electronic medical records (EMRs), can be optimised through conversion into a uniform data structure to enable analysis alongside other comparable health metric datasets. This can be achieved with the Observational Medical Outcomes Partnership Common Data Model (OMOP-CDM), which employs a standardised vocabulary to facilitate systematic analysis across various observational databases. The concept behind the OMOP-CDM is the conversion of data into a common..
View full abstract