OK2StandUP develops a wearable, AI-powered fall prevention solution that remotely monitors and predicts a senior's intent to stand, providing alerts within six seconds. This technology aims to reduce fall incidents in high-risk populations, significantly lowering healthcare costs associated with fall-related injuries.
Funding
$930K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
BBFounders
Product
Problem
Falls are a leading cause of injury and death among seniors, resulting in significant healthcare costs and reduced quality of life. Current fall-prevention methods often rely on reactive measures and lack real-time monitoring capabilities. This can lead to delayed intervention and increased risk of fall-related injuries.
Solution
OK2StandUP offers a wearable, AI-powered solution designed to proactively prevent falls in high-risk individuals. The system utilizes a wearable sensor to remotely monitor a senior's movements and predict their intent to stand up. When a potential fall risk is detected, the system sends alerts within six seconds, enabling caregivers to intervene in real-time. This predictive capability aims to reduce fall incidents, improve patient safety, and lower healthcare costs associated with fall-related injuries.
Target Audience
The primary target audience includes nursing homes, assisted living facilities, hospitals, and other healthcare organizations that provide care for seniors at high risk of falls.
Features
- Wearable sensor for continuous, remote monitoring of patient movement
- AI-powered predictive analytics to anticipate a patient's intent to stand
- Real-time alerts within six seconds of detecting a potential fall risk
- Seamless operation in various settings, including wheelchairs, recliners, and commodes
- Wireless data transmission for remote monitoring by caregivers
- Integration with existing healthcare systems for streamlined workflows
- Data-driven insights to inform personalized fall-prevention strategies