Limit useful exposure
The data needed for analysis should be limited to the requested processing, with retention and deletion rules to frame.
Health data privacy
Health data privacy in AI document analysis
This page presents a cautious approach: sensitive documents, GDPR, AI providers, available measures and limits to clarify depending on your use case.
Sensitive data
GDPR
Providers to qualify
Progressive control
Benefits
Our processing approach
Clarify GDPR roles
Controller, processor, purposes, legal basis, minimisation and documentation must be verified depending on your usage.
Identify the providers involved
AI models may involve external providers. Contractual and technical commitments must be examined before sensitive use.
Use cases
Points to check before going live
- Nature of the documents and possible presence of identifying health data.
- Contractual, regulatory, security requirements and DPO documentation.
- Retention periods, internal access, logging, deletion and incident handling.
Limits
What this page does not promise
EryonOne does not claim a guarantee of territorial hosting at this stage for all usages. The priority is to clearly describe the data processed, the providers involved, the available measures and the applicable limits.
Frequently asked questions
FAQ
Can health documents be analysed with an AI?
Yes, but the framework must be clarified: data processed, purpose, providers, retention, security and GDPR responsibilities.
Are documents used to train a general model?
No. EryonOne does not use them to train a general model.
How to frame a sensitive usage?
You must identify the nature of the data, DPO constraints, contractual requirements and the providers involved.
Does EryonOne guarantee HDS or France-only hosting?
Not by default. Any HDS, territorial or contractual requirement must be explicitly validated depending on the chosen technical scope.
Next step
Discuss your use case
Describe the nature of the documents and your DPO, security or contractual constraints to validate the right scope before launch.