
Sovereign health data analysis
The reference platform for observational research on standardized OMOP data, installed and maintained by DINAO. Your patient data stays on our French servers — GDPR compliance at the core of the solution.
What is OHDSI Atlas?
OHDSI Atlas is an open source and web tool developed by the OHDSI community to design and execute scientific analyses on standardized observational health data in the OMOP Common Data Model (CDM v5) format.
Atlas allows you to define cohorts, perform characterizations, analyze care pathways, conduct population-level effect estimation studies, and patient-level prediction, all through a graphical interface without writing code. It relies on OHDSI standardized vocabularies to ensure reproducible and comparable results across data sources.
Atlas is accompanied by the WebAPI (which connects the interface to your CDM databases) and integrates with the R / HADES ecosystem for advanced statistical analysis. The entire stack is typically deployed via Docker (Broadsea stack).
Host OHDSI Atlas at DINAO
Resource tiers compatible with OHDSI Atlas prerequisites (minimum 2 vCPU / 4 Go / 20 Go). Hosted in France, fully managed.
- 2 dedicated vCPU
- 4 Go RAM
- 40 GB NVMe
- Daily backups
- Managed & monitored by DINAO
- 4 dedicated vCPU
- 8 Go RAM
- 80 GB NVMe
- Daily backups
- Managed & monitored by DINAO
- 8 dedicated vCPU
- 16 Go RAM
- 160 GB NVMe
- Daily backups
- Managed & monitored by DINAO
1 hidden tier(s) (insufficient resources for this app) : Découverte
Technical details
You might be wondering…
What is the OMOP CDM model?
It is the common data model of the OHDSI community. It harmonizes heterogeneous health data into a standardized format, making analyses reproducible and comparable across institutions.
Is my patient data protected?
Yes. Your instance is isolated in a dedicated container, hosted in France, encrypted at rest and in transit. No data is shared or transmitted to third parties.
Do I need to already have an OMOP format database?
Atlas analyzes a database already converted to OMOP CDM. DINAO can host your database and connect Atlas/WebAPI; the conversion ETL remains the responsibility of your research team.
Can I perform advanced statistical analysis?
Yes. The Laboratory plan and above includes the R engine (HADES) for effect estimation, patient-level prediction, and population-level analysis.
Can I change plans or export my data?
Yes. You can upgrade or downgrade at any time, and your data remains exportable — no proprietary lock-in.