Dozee - AI Powered Remote Patient Monitoring and Early Warning System

A predictive analytics system that monitors patient data and alerts clinical staff to early signs of deterioration. It uses artificial intelligence to analyze vital signs and clinical indicators for proactive intervention.

End-to-end solution for remote patient monitoring combining wearable sensors, software, and AI analysis. Enables continuous health status tracking outside traditional clinical settings.

24/7 remote intelligent surveillance system for continuous patient monitoring and alert response. Features 360-degree alert workflow management and closed-loop health promotion across care settings.

Digital platform for continuous remote monitoring of patient vital signs and health parameters with data transmission to healthcare providers.

An AI-driven system specifically designed for continuous monitoring and management of diabetic patients with real-time data collection and analysis. The platform supports early detection of complications through systematic tracking.

Remote patient monitoring system enabling continuous vital sign tracking and real-time clinical alerts for healthcare providers. Supports wireless and wired nurse call integration with evacuation protocols for hospital and care facility operations.

An integrated AI-based medical monitoring solution for nursing hospitals, general hospitals, and home care settings. The system uses deep learning-based real-time video analysis to monitor patient behavior patterns, predict fall risks, detect bed exits, and manage pressure ulcer prevention. It provides 24-hour automated surveillance with infrared night vision support, generates real-time alerts within 1 second, and integrates with existing Hospital Information Systems (HIS) and Electronic Medical Records (EMR) for comprehensive patient safety management.

A cloud-connected platform transmitting sleep data from home devices to healthcare providers. Enables remote patient monitoring and real-time clinical decision support.

AI-powered wearable biosensors for continuous remote monitoring of post-surgical recovery and rehabilitation progress. The system combines smart biosensor technology with artificial intelligence to enable real-time health data collection, analysis, and clinical insights for patient outcomes tracking and remote patient management.

Integrated solution for continuous monitoring of patient vital signs and health metrics from remote locations. Enables healthcare providers to track patient conditions and intervene when necessary without in-person visits.

Wearable health monitoring systems for continuous vital sign tracking across hospital, community, and home care settings. Integrates wrist-worn reflective optical sensors with cloud-based analytics for real-time patient monitoring, remote clinical alerts, and closed-loop care coordination. Features Class II medical device certification, 24/7 automated data collection, and supports perioperative recovery, chronic disease management, and post-discharge follow-up protocols.

AI-based patient care monitoring system that leverages artificial intelligence to collect, analyze, and track patient vital signs and clinical data in real-time. Designed to support clinical decision-making and continuous patient monitoring across hospital and home care settings.