Caregility Corporation has introduced a new AI-driven fall risk detection feature within its iObserver platform. This capability aims to improve continuous patient observation by using computer vision to analyze visual data, identify potential fall risks, and alert healthcare providers for timely intervention.
The iObserver platform is widely used in hospitals to monitor patients at risk of self-harm or falls. The new AI feature enhances this by processing visual data directly on telehealth edge devices installed in patient rooms, removing the need for cloud-based data streaming. This local processing helps to address bandwidth concerns and strengthens data privacy by keeping patient information within the room.
"Our platform is designed to integrate AI capabilities effectively while remaining open to other solutions that could enhance healthcare workflows," said Kedar Ganta, Chief Product and Engineering Officer at Caregility. "This flexibility allows us to stay current with AI developments without being restricted to one technology."
Advanced AI features
The updated platform includes several new features under the Augmented Observation services. These features enable the continuous monitoring of patient safety factors through AI-powered computer vision. The system analyzes live video streams to detect movements and environmental changes that could lead to adverse events, such as falls or self-harm. This allows healthcare teams to respond more quickly to potential risks.
Additionally, the platform offers radar-based AI capabilities for continuous, contactless monitoring of key patient vital signs. This feature tracks changes in patient conditions over time, providing alerts to healthcare providers when signs of deterioration are detected. Another tool within the platform uses facial recognition to remotely assess vital signs such as blood pressure and heart and respiratory rates during virtual visits, automating this process within seconds.
"We aim to advance telehealth through AI and edge computing, enabling healthcare providers to utilize new technology while maintaining efficiency and privacy," said Bin Guan, Chief Innovation Officer at Caregility.
Focus on integration and longevity
The AI capabilities introduced are now available on over 15,000 edge devices currently in use in hospitals worldwide. These devices, known as Access Point of Care Systems (APS), have proven to be durable, with some units remaining operational after more than six years of continuous use. This longevity highlights the platform's adaptability to new technological advancements over time.
"This development in AI at the edge is an important step forward, but we also recognize the need to work with other AI technology providers to deliver comprehensive solutions," said Mike Brandofino, President and Chief Operating Officer at Caregility.
Caregility's approach to AI aims to address the specific challenges faced by healthcare providers. By combining video and audio AI with specialized third-party solutions, such as contactless vital sign tracking, the platform provides tools designed to improve patient outcomes. The strategy of using edge devices rather than cloud-based AI supports faster and more accurate results, reflecting a broader shift in telehealth towards more decentralized and secure technological solutions.
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