Meng Hui Lim
CEO
SmartPeep
This health tech startup utilizes an AI-driven monitoring system that enhances existing camera infrastructure to detect senior patient behaviors in real-time. By providing automated alerts for emergencies and data-driven insights, the solution enables nurses to deliver timely and proactive care, improving patient outcomes.
- Artificial Intelligence
- Healthcare Technology
- Software Only
Updated 6 months ago
Funding
Raised to date
$320KRaised 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.
Funding rounds are not available yet.
Founders
Ying Toh
COO
Product
Problem
Hospitals and aged care facilities face challenges in providing continuous monitoring of patients and elderly residents due to staffing shortages and the limitations of traditional monitoring methods. Delayed response times to falls and other emergencies can lead to adverse patient outcomes and increased healthcare costs. Existing bed alarms and sensor-based systems often react slowly, failing to provide timely alerts for proactive intervention.
Solution
SmartPeep offers an AI-powered patient and elderly monitoring system that leverages existing camera infrastructure to automatically detect risky behaviors and emergency situations in real-time. The system analyzes video feeds using computer vision and deep learning algorithms to identify events such as falls, bed exits, and wandering. When a potential incident is detected, the system sends immediate alerts to nurses and caregivers, enabling them to respond quickly and provide timely assistance. By providing proactive monitoring and automated alerts, SmartPeep helps healthcare facilities optimize care efficiency, reduce fall rates, and improve patient safety. The AI system can differentiate between patients and nurses, turning off alerts when a caregiver enters the room to attend to the patient.
Target Audience
The primary target audience includes hospitals, aged care facilities, and assisted living providers seeking to enhance patient safety, improve care efficiency, and reduce fall rates.
Features
- AI-powered video analytics for real-time detection of falls, bed exits, and other risky behaviors
- Integration with existing camera systems, minimizing the need for additional hardware
- Automated alerts sent to nurses and caregivers via mobile devices or central monitoring stations
- Customizable alert parameters to tailor the system to specific patient needs and risk profiles
- Nurse Rounding Support
- Bed Exit Prediction
- Bedsore Management
- Lone Elderly Loitering Detection
- Senior Detection at Restricted Areas
- Long Toilet Usage Detection
- Chair Fall Prevention
- Missing from Bed Detection
- Data-driven insights and reporting to track patient safety metrics and identify areas for improvement