Advanced Patient Fall Detection:
Enhancing Safety with Real-Time Monitoring and Alerts
A Patient Fall Detection System leverages advanced technologies to monitor, detect, and respond to patient falls in real time, enhancing safety and reducing response times in healthcare settings.
Key Technologies Involved:
Sensor-Based Detection:
Wearable sensors (accelerometers, gyroscopes) detect sudden changes in motion or posture.
AI & Machine Learning Algorithms:
Trained models differentiate between normal activity and false to minimise false alarms.
Continuous learning improves accuracy over time.
IoT Connectivity & Cloud Integration:
Connected devices transmit real-time data to healthcare staff via cloud platforms.
Remote monitoring enables caregivers to intervene promptly.
Real-Time Alert & Notifications:
Automated alerts sent to nurses, caregivers, or emergency responders.
Integration with hospital system (EHR, nurse call system) for seamless response.
Wearable & Smart Device Integration:
Smart BLE Beacon Wristband, BLE Beacon Lanyard trackers provide continuous monitoring.
SOS panic button on BLE Beacon activated emergency response feature for patient convenience.
