Althaia Collaborates With Robbie Ai, An Artificial Intelligence System, To Prevent Falls In Frail Hospitalized Patients

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The Althaia Foundation, in collaboration with Robbie AI, is pioneering a groundbreaking fall prevention project aimed at enhancing patient safety using artificial intelligence. This initiative, which targets frail patients at risk of falls, has achieved remarkable results during its pilot phase, demonstrating the potential for AI-driven solutions in healthcare settings.

Project Overview

Objective:
The project’s goal is to prevent falls among vulnerable patients through advanced AI technology. The system, developed by Robbie AI, uses real-time computer vision to analyze patients' body movements and facial expressions to predict and prevent potential fall situations.

Technology:

Robbie AI: This fully automated solution continuously monitors patients, providing early warnings of fall risks by analyzing movement patterns and detecting anomalies. When a risk is identified, customizable alerts are sent to the nursing staff, enabling timely intervention to prevent falls.
Platform: The AI system operates on Nvidia Jetson's Edge Artificial Intelligence platform, which ensures patient privacy ...
... by removing images and personal data after processing.

Pilot Study Details

Duration and Locations:

The pilot study has been conducted over two years at two key locations:

Acute Geriatrics Unit of Sant Joan de Déu Hospital in Manresa
Long Stay Unit of the Hospital Center

Implementation:
The study focused on tailoring Robbie AI’s workflow to meet the specific needs of healthcare professionals. The AI algorithm was adjusted based on feedback and requirements from the nursing teams, improving the system’s effectiveness and accuracy.

Results:

Fall Reduction: The pilot has led to a dramatic 90% reduction in fall incidents across the units.

Alert Performance: On average, 16 alerts were sent per day per bed, with high-risk patients receiving about 26 alerts daily. The system achieved 100% reliability with less than 1% false positives.

Response Time: The average response time to alerts was around 60 seconds, with a distance of 100 meters between patients and responding staff.

Training and Data Handling:

The AI system was trained using over 2 billion images and data from 10,000 patients across various centers. The technology’s design ensures maximum privacy, handling patient data securely and effectively.

Feedback and Future Prospects

Comments from Experts:

Bartomeu Ayala, head of Social and Health Innovation at the Althaia Foundation, highlighted the significant achievement in reducing false positives, underscoring Robbie AI’s ability to accurately identify fall risks without overwhelming the nursing staff with unnecessary alerts.

Karen Marquez, CEO of Robbie AI, emphasized the success of the partnership and expressed optimism about extending the technology’s benefits to other healthcare centers.

About the Althaia Foundation

Althaia Foundation is a private non-profit organization providing comprehensive healthcare services in Central Catalonia. The foundation is part of the public health system of Catalonia (SISCAT) and is dedicated to quality care, research, and innovation. It operates multiple facilities including acute and dependency care beds, and prioritizes teaching and research as part of its strategic goals.

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