Clinical data under GDPR and MDR
Strict constraints on residency, audit trail, clinical validation, CE marking.
On-premise clinical AI, MDR, sovereign data.
Hospitals, health authorities, IRCCS, private clinics and biomedical research centres that want to use AI on clinical data without letting it leave the perimeter. noze comes from years of projects with Meyer, CNR and European research centres.
Strict constraints on residency, audit trail, clinical validation, CE marking.
Reports, discharge letters, imaging, PDFs: data scattered and hard to query.
AI must help the doctor, not replace them, and always cite sources.
Continuity of care hard to manage without dedicated tools.
Local clinical chatbot, RAG on FHIR/DICOM, digital twin, SaMD MDR pathway.
GDPR and MDR on clinical data: gap analysis, AI risk classification and audit trail, on-premise.
Vulnerability assessment and pentest of the hospital network and medical devices.
ProductClinical AI governance with Admina Enterprise: AI Act, NIS2 and sovereign health data.
SolutionHospital network and connected medical device security.
SolutionSovereign clinical AI, governance and AI Act compliance in healthcare.
SolutionConsulting on clinical roadmap, validation and CE pathway.
SolutionCloud platforms for healthcare interoperability and digital services.
SolutionHosting, DNS and network infrastructure for clinical environments.
Solution25+ years of applied biomedical research, European projects.
Joint R&D INPECO + BioRobotics Sant'Anna Pisa (EUR 3.5M, 30 researchers): automation and robotics for clinical labs, deep learning on skin lesions.
2008–2010noze system for ISTI-CNR: bioinformatics workflows on an existing computational grid, drag-and-drop Visual Workflow Designer and Web 2.0 CMS.