At Idoven, we meet the highest regulatory and security standards to ensure the quality, safety, and compliance of our AI-driven healthcare solutions.




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Our compliance with leading international standards ensures robust security, privacy, and ethical business practices.

Information Security Management System (ISMS) for structured data protection.

Security controls for cloud-based services.

Protection of Personally Identifiable Information (PII) in cloud environments.

Privacy Information Management System (PIMS) for GDPR compliance, extending ISO 27001.

Anti-Bribery Management System (ABMS) to ensure ethical business conduct and regulatory compliance.
Artificial Intelligence Management System (AIMS) for governing, managing, and ensuring the responsible, safe, and ethical use of AI within organizations.
Quality Management System (QMS) for medical devices, ensuring consistent design, development, production, and regulatory compliance across the product lifecycle.

Cybersecurity framework for medical software, protecting against vulnerabilities, cyber threats, and unauthorized access.

The Willem™ ECG Analysis Platform meets the NHS Digital Technology Assessment Criteria (DTAC) for quality, safety, interoperability, and clinical effectiveness.
We adhere to European and national regulations for data protection:



If you’d like more information about our security and privacy policies, or to request our certifications, feel free to contact us
Idoven is currently in the process of obtaining HDS certification in accordance with the French Public Health Code and the General Data Protection Regulation.
Once obtained, this section should include the certificate of conformity, its scope, issuing body, and validity dates.
Health data is hosted within the European Economic Area (EEA) by Google Cloud.
Based on the information provided, no transfer of health data outside the EEA is performed.
In accordance with Chapter 8 of the HDS certification framework, the following table provides transparency regarding the actors involved in the processing of health data: