First Clinical Deployment of RAI Sensor System for Early Infection Detection
- peter87581
- Jan 30
- 1 min read
Updated: Mar 2
Resmonics has officially deployed its RAI sensor system for early detection of respiratory infection risks in real-world hospital operations. The system is being implemented in collaboration with Kantonsspital Baden AG (KSB) and the Health Innovation Hub Aargau.
The project marks an important milestone in translating nearly a decade of research into clinical application. Following a successful initial validation phase of the MVP, the initiative has now progressed to the next stage, focusing on delivery and integration for clinical teams.
Unlike invasive diagnostic methods such as swab or blood testing — or indirect monitoring approaches like wastewater surveillance — the RAI system provides continuous, non-invasive monitoring directly within the care environment. Using acoustic AI, the sensor analyses cough activity and other sound patterns to identify early signals of infection risk and patient deterioration before clinical escalation.
In the first phase of the study, the sensors operated in passive analysis mode, collecting data without providing active feedback. The project has now entered its second phase, during which the system actively signals elevated infection risk through a visual colour indicator, adding an objective monitoring layer to existing infection prevention measures.
Designed as a plug-and-play solution that operates passively in the background, the sensor integrates into existing clinical workflows without requiring complex IT integration. The devices are currently installed in selected areas of KSB, including high-traffic zones such as waiting areas and medical wards.
As healthcare systems continue to face infection pressure and workforce constraints, scalable and non-invasive monitoring solutions are becoming increasingly important. This deployment marks an important step in scaling acoustic AI solutions across healthcare settings.
