This AI-based platform analyzes patient behavior in real-time using image processing to detect and prevent high-risk events like patient escapes from hospital beds. It provides real-time alarms via a linked dashboard, enabling healthcare institutions to improve patient management and reduce costs.
Funding
$71.2K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Hospitals and care facilities face challenges in monitoring patients for high-risk events such as falls, bed escapes, and extended periods in the restroom, especially with limited nursing staff. Existing monitoring methods often generate excessive alerts, increasing staff fatigue and potentially delaying responses to critical situations.
Solution
Cleverus offers an AI-powered patient monitoring system that uses real-time image processing and behavioral analytics to detect and prevent high-risk events. The system analyzes patient behavior and sends alerts to a dedicated dashboard at the nursing station when it detects events like falls, bed departures, or prolonged restroom stays. By focusing on critical situations and minimizing irrelevant alarms, Cleverus aims to reduce nurse fatigue and improve patient response efficiency. The system uses camera data to identify unusual behavior and alert staff.
Target Audience
The primary target audience includes hospitals, nursing homes, and assisted living facilities seeking to improve patient safety and reduce the workload on nursing staff, as well as families looking for monitoring solutions for elderly relatives at home.
Features
- Real-time patient monitoring using existing CCTV infrastructure or dedicated AI cameras.
- AI-powered behavior analysis to detect falls, bed exits, and extended restroom stays.
- Customizable alerts based on specific patient needs and risk profiles.
- Dashboard for nurses providing immediate notifications of critical events.
- Data analysis tools to identify trends and patterns in patient behavior.
- Integration with nurse call systems for streamlined communication.
- Lightweight version available for home use, providing alerts to a mobile application.