The observational and medical outcomes partnerships (OMOP) common data model standardises the structure and coding systems of otherwise disparate datasets, enabling the application of standardised and validated analytical code across a federated data network without the need to share patient data.

Common data models have the potential to overcome some of the key operational, methodological, and technical challenges of using observational data in health technology assessment (HTA), particularly by enhancing the interoperability of data and the transparency of analyses.

To ensure the usefulness of the OMOP common data model to HTA, it is imperative that the HTA community engages with this work to develop tools and processes to support reliable, timely, and transparent evidence generation in HTA.