AI-based Remote Patient Monitoring
The Problem Statement
A renowned healthcare and rehabilitation center required an AI-based remote patient monitoring solution that accurately detects patient posture and sends real-time fall alerts and more.
The Solution
The KritiKal team created an innovative system that identifies patient postures by using advanced image analysis and machine learning algorithms. It delivers real-time actionable insights to caregivers and facilitates proactive care by preventing emergencies and accidents. It works even with limited data and significantly improves response time by assessing the number of occupants in a room and analyzing their postures. Healthcare providers and elderly care centers can simultaneously monitor multiple patients and react quickly during critical situations. It tracks significant emotional changes by utilizing emotion analytics and facial recognition technology for personalized tracking. Ultimately, it sends automatic alerts to caregivers pertaining to these observations to enable safety, timely medical intervention and successful patient outcomes.
Benefits Delivered
KritiKal’s patient posture detection and monitoring solution helped the client in providing timely insights on multiple patients simultaneously. With this advanced system, they were able to provide proactive care to patients and improve response times, especially during emergencies.
Technology Used
- Image Processing
- Facial Recognition and Emotion Analytics
- Deep Learning algorithms