Discover OPUS QA
The platform that reinvents Quality Control management
What is OPUS QA ?
OPUS QA is a cloud platform dedicated to the management and orchestration of quality control for medical devices, particularly in the fields of medical imaging and radiotherapy.
It enables the centralization, automation and continuous monitoring of tests and events associated with medical equipment, regardless of manufacturer or device type.
OPUS QA interconnects with existing systems to aggregate control data, structure quality processes, generate dashboards tailored to different user profiles and provide advanced analysis of performance and operational deviations.
The platform also integrates automated processing tools for test object images and the interpretation of dosimetric data.
The solution aims to transform a set of isolated controls into a global, harmonized, automated and fully traceable management of equipment performance — in the service of treatment reliability and patient safety.
A progressive rollout, a comprehensive vision
April 2026
→ Dashboard – Consolidated view of your equipment fleet, scheduling and global review of performed controls — including, for ARTISCAN users, full migration of your activity history.
→ Analytics – Advanced exploitation of quality control data: inter-machine comparison, parameter comparison and Statistical Process Control.
→ Daily QA : Simplified entry, validation and traceability of daily quality controls.
→ Machine Events - Recording and tracking of events and interventions with equipment availability indicators.
→ CT ANSM QA – First integration of automated DICOM image analysis to ensure compliance with the new ANSM decisions.
→ Progressive extension of analyses to other devices (imaging and radiotherapy) and modalities by end of 2026.
A seamless transition for ARTISCAN users
QC history
Imported and ready to analyze
Protocols and parameters
Preserved and ready to use
Equipment inventory
Imported and editable
Join our webinar for the official presentation of V1
- Presentation of the OPUS QA 2026 Roadmap
- Platform and Analytics module demonstration
- Concrete use cases in a production environment
- Presentation of the Early Adopter program
