CareVolutionAI is a cross-border innovation project in the Alpenrhein–Bodensee–Hochrhein (ABH-Region) area that aims to relieve overstretched care teams and improve residents’ safety, freedom, and quality of life through privacy-preserving, AI-based room sensing in long-term care facilities and clinics. The central idea is simple but powerful: one 3D sensor per room continuously detects relevant events and long-term behavioral patterns directly in the room, enabling actionable alerts and trend insights—without relying on wearable devices or continuous manual rounds.

The challenge the project addresses

Across the ABH region, care organizations face a converging set of pressures: severe staff shortages, the need for frequent safety checks, high shares of non-patient-facing administrative work, and significant psychological strain on professionals—while avoidable adverse events (e.g., falls, pressure ulcers, delirium-related incidents) drive escalating costs. CareVolutionAI responds to this situation by shifting routine monitoring and documentation-heavy “control work” toward an automated, clinically meaningful digital assistance layer—so professionals can focus more time on direct care and human interaction.

What CareVolutionAI builds and why it is different

At the technical core is an established smart-room sensing platform where fall detection and fall prevention are already proven in practice, reducing implementation risk. The project extends this baseline with new AI modules tailored to real care workflows and clinical needs, including:

• Pressure ulcer (decubitus) prevention, derived from long-term in-bed mobility patterns
• Cognitive disturbances and dementia-related behaviors, inferred from unusual room behavior patterns
• Delirium indicators, including motor restlessness and atypical nighttime activity
• Sleep-related complaints, enabling early recognition of changes relevant for care planning

A key differentiator is the project’s multi-level aggregation concept: insights are not only produced for individual rooms and residents, but are also aggregated (anonymized) to ward, facility, and ultimately regional and country levels, allowing care providers and decision-makers to identify trends, benchmark practices, and support evidence-based resource planning across borders. This “from room to region” approach is explicitly designed as a pioneering step for the ABH region.

The “CareVolutionAI” project is funded by the Interreg Alpenrhein-Bodensee-Hochrhein program (www.interreg.org) with no. ABH036.