The Althaia Foundation, a healthcare provider in Central Catalonia, has successfully implemented an AI-powered fall prevention system in its facilities, achieving zero falls in trial units over the past three months. This innovative project, developed in collaboration with Robbie AI, utilises computer vision technology to predict and prevent falls in vulnerable patients.
The collaboration between the Althaia Foundation and Robbie AI began as an R&D project with a focus on enhancing patient safety. Over the past two years, a pilot study was conducted in the Acute Geriatrics Unit of the Sant Joan de Déu Hospital in Manresa and the Long Stay Unit of the Hospital Center. This pilot aimed to evaluate the effectiveness of the system and adapt the Robbie AI workflow to the hospital's needs.
The Robbie AI system employs real-time computer vision to continuously analyse patients' body movements and facial expressions, identifying potential fall hazards. When a risk is detected, the system sends customizable alerts to the nursing team, providing them with sufficient time to intervene and prevent the fall.
The pilot study yielded impressive results:
90% Reduction in Falls: The implementation of Robbie AI resulted in a significant decrease in falls, with a 90% reduction overall.
Zero Falls in the Last Three Months: In the trial units, no falls were reported in the last three months, highlighting the effectiveness of the system.
High Alert Accuracy: The system consistently produced an average of 16 alerts per day/bed, with 100% reliability and a low false positive rate of less than 1%. This demonstrates the system's ability to accurately identify genuine risks.
Efficient Response Times: The alerts triggered by the Robbie AI system allowed nursing staff to respond within an average of 60 seconds, covering a distance of 100 metres to reach the patient.
The Robbie AI system is based on a robust architecture, trained and tested with over 2 billion images and data from 10,000 patients across various healthcare facilities. To ensure patient privacy, the system has been designed to remove patient images and data during deployment.
This successful implementation demonstrates the potential of AI to significantly improve patient safety in hospitals. The Althaia Foundation's initiative serves as a model for other health and social institutions looking to enhance their fall prevention strategies.
Key Figures:
Falls Reduced by: 90%
Zero Falls in: Last 3 months
Alerts per Day/Bed: 16 (average)
False Positives: Less than 1%
Response Time: Average of 60 seconds
Distance Covered: Average of 100 meters
Quotes:
Bartomeu Ayala, Head of Social and Health Innovation at the Althaia Foundation: âOne of the most conclusive results has been the low number of false positives. Robbie AI is the only solution that intelligently distinguishes a real risk of falling, and this is crucial for the nursing team that manages many daily alerts."
Karen Marquez, CEO and co-founder of Robbie AI: âAlthaia's commitment to patient safety makes them an ideal partner for Robbie AI. Their continued efforts to refine fall prevention workflows with Robbie AI's solution have allowed us to achieve results that can be extended to other centers.â
About the Althaia Foundation:
The Althaia Foundation is a private non-profit organisation dedicated to providing comprehensive healthcare services in Central Catalonia. With a focus on patient well-being and quality care, it offers a wide range of services, including hospitalisation, home care, and dependency care. As a university hospital, it prioritises teaching, research, and innovation.
About Robbie AI:
Robbie AI is a technology company focused on patient safety, addressing the $1 trillion market with its True Predictive AI. Their first product, a fall prevention system, tackles one of the healthcare industry's most pressing issues: falls in hospitals and nursing homes. By employing advanced computer vision technology, Robbie AI aims to reduce the financial burden and human suffering associated with falls, which cost the global healthcare system over $250 billion annually.