Robbie Care

Robbie Care

AI Tool Description

Robbie Care is an advanced computer vision-based AI tool designed to solve patient safety concerns, specifically focused on preventing falls and predicting delirium episodes in ICU and hospital rooms. By automating patient safety measures and leveraging real-time monitoring, Robbie Care significantly increases patient safety and reduces associated costs.

The Robbie Care platform utilizes state-of-the-art computer vision research developed at the University of Massachusetts in Boston, MA. The technology incorporates body and face analysis, detecting body movement and accurately predicting mental states with an impressive 99% accuracy, as validated in pre-clinical trials.

With 24/7 monitoring capabilities, Robbie Care offers continuous patient monitoring without the need for human intervention, allowing for immediate alerts and necessary interventions by caretakers and doctors. By enabling proactive measures, extended hospitalization, unnecessary medication, and excessive treatment can be avoided.

Robbie Care also ensures compliance with HIPAA and GDPR regulations, safeguarding patient data and privacy. The AI tool does not store any personal biometric, imagery, or clinical data of patients, facilitating seamless integration with existing Electronic Medical Record (ERM) systems.

Robbie Care's impact is significant, with over 90% reduction in falls, 80% accuracy in predicting delirium episodes, and a network of over 40 participating hospitals showcasing its efficacy. This leads to a remarkable 98% reduction in costs associated with injury and delirium.

The platform is designed to be hardware-agnostic, compatible with commodity cameras or CCTV systems, eliminating the need for special hardware investments. Additionally, Robbie Care operates on a cloud-based infrastructure, simplifying deployment and eliminating on-premises requirements and associated IT costs.