An overview of OpenEHR and OMOP, highlighting the key features of each framework
From healthcare to research: effectively using RWD with OpenEHR & OMOP
Director of Government Health Services at Infosys
Data Engineer specialized in OHDSI at The Hyve
Project Manager specialized in OHDSI at The Hyve
To achieve interoperability and long-term reuse, the architecture to store health data must connect cleanly with the models used for analysis. This webinar focuses on that critical link between OpenEHR, a comprehensive set of open standards for health data architecture, and the OMOP Common Data Model, the foundation for harmonised analytics.
We will provide a technical look at how OMOP can be integrated and utilised with OpenEHR to maximise the benefits of your patient health system, allowing smoother transformations and smarter use cases of source health data.
This session is for clinicians, data scientists, and digital health workers who want to understand the practical challenges and proven best practices for connecting these two essential frameworks.
An overview of OpenEHR and OMOP, highlighting the key features of each framework
Differences in how data is represented and used across OpenEHR and OMOP
Benefits and limitations of implementing each framework
Strategies for combining the two, with a focus on transforming OpenEHR data into OMOP
Benefits and limitations of integrating OpenEHR and OMOP