Self-hosted clinical data. AI by the doctor's side.

Clinical chatbot with local LLMs, RAG over FHIR/DICOM data, diagnosis support, remote follow-up and patient digital twin. Data control, planned MDR pathway, Meyer and CNR experience behind it.

AIHealth dashboard
Features

AIHealth

Clinical AI chatbot

Local open-source LLMs (Llama, Mistral, medical models) to query clinical data in natural language.

RAG on health data

Indexing of reports, lab results, discharge letters and imaging reports. HL7 FHIR, DICOM, clinical PDFs.

Diagnosis support

Differential diagnoses based on guidelines and medical literature, with source citations. SaMD Class I path (MDR).

Remote follow-up

Post-discharge monitoring: AI-guided questionnaires, deterioration alerts, IoMT integration.

Patient digital twin

Longitudinal digital model of the patient: therapy scenario simulation and outcome prediction.

Audit & interoperability

Full audit trail of every AI interaction. EHR/HIS connectors, ICD-10, SNOMED CT, LOINC.

How it works
01

Self-hosted setup

On-premise or encrypted hybrid cloud deployment. Clinical data never leaves your perimeter.

02

RAG on your data

Indexing of reports, letters and imaging. The knowledge base stays aligned with the EHR.

03

Continuous support

Model updates, MDR/CE pathway, clinical validation, ongoing support from the noze team.

Pricing

Licences for clinics or hospitals

Pricing tailored to facility, volumes and add-ons (digital twin, follow-up). Launching in Research Use Only (RUO) mode pre-CE. Pricing on request.

Request a demo
Under attack? Need support?
Under attack? Need support?