RUBY PREDICTS & PREVENTS FALLS – BEFORE THEY HAPPEN
RelyAi is Revolutionizing Healthcare Technology with our Proprietary Attentive Intelligence
Ruby enhances patient care and safety through predictive learning sensor technology and management systems – without intrusive devices, cameras or alarms.
OUR TECHNOLOGY
How Ruby Works
01
AI-Powered Analytics
Employs learning algorithms to predict and identify risky movements. Continuously learns and adapts to individual movement patterns for a customized solution.
02
Real-Time Alerts
Sends instant notifications to caregivers via mobile app or SMS. Customizable alert settings to suit specific needs.
03
Non-Intrusive Monitoring
Installation is simple and unobtrusive, maintaining the privacy of the residents. No cameras or wearable devices required.
04
Data Insights & Reporting
Provides comprehensive reports on movement patterns and potential risks. Helps in making informed decisions regarding care plans.
05
Mobile App Task Management
Includes a built-in task management system for caregivers, enabling them to track, assign, and manage care-related tasks efficiently.
06
Live Documentation & Incident Response
The mobile app features live documentation tools for caregivers to record incidents as they happen, ensuring accurate and timely responses.
How Ruby Reduces Risk
SOLVING THE PROBLEM – BEFORE IT'S TOO LATE
Preventing Falls Significantly Reduces the Leading Cause of Injury in Older Adults
As our global population ages, ensuring the safety and well-being of seniors becomes increasingly critical. Falls are a leading cause of injury among older adults, often resulting in serious health complications and a diminished quality of life. Traditional monitoring systems in place today are outdated and reactive—only alerting caregivers or family members after an incident occurs. This can lead to delayed response times, worsening the outcomes of falls and other risks. Such systems often leave loved ones and caregivers feeling anxious and vulnerable.
25%
One in four Americans age 65+ falls each year.
Who do you know?
Most of us know someone who has experienced a fall. Falls are the leading cause of fatal and nonfatal injuries for older Americans.
14 Million
Fourteen million Americans age 65+, fall each year.
Leading cause injuries
Falls are the leading cause of fatal and non-fatal injuries among older adults.
38,000 Deaths
In 2021, falls caused 38,000 deaths among those 65+, and emergency departments reported 3 million related visits.
$101 billion + by 2030
The cost of treating injuries caused by falls among older adults is projected to increase to over $101 billion by 2030.
50% Require Care
Among older adults who fall, over half receive care in a hospital.
2015 - 2018 Increase
Based on 2020 data, the total health care cost of non-fatal older adult falls is $80 billion per year, up from $50 billion in 2015.
Inpatient Cost $18,658
The estimated annual average cost per inpatient visit for fall injuries is $18,658 and $1,112 per emergency department visit.
Now, There's Ruby... To Predict Danger Before The Fall.
RelyAi offers an innovative, non-intrusive solution powered by advanced AI technology to monitor residents’ movements seamlessly. Unlike traditional reactive systems, RelyAi focuses on proactive solutions by accurately predicting when a resident gets out of bed or engages in movements that may indicate potential risks or falls before they happen. Our AI-based sensor continually learns about each specific resident/patient after deployment, creating a truly customized solution for each individual. This not only improves the accuracy of predictions but also leads to fewer false alarms and minimizes alarm fatigue for healthcare professionals using the technology. By providing real-time alerts and actionable insights, RelyAi empowers caregivers and families to respond promptly, enhancing safety and peace of mind while preserving the dignity and independence of residents.
Falls Among the Elderly
Falls are the leading cause of injury-related deaths among adults aged 65 and older, accounting for over 3,000,000 emergency visits each year in the U.S. alone.
Cost of Falls
The annual medical costs associated with falls are estimated to exceed $80 billion just in the US, highlighting the urgent need for effective prevention solutions.
Sensor Accuracy
RelyAi’s sensors boast a detection accuracy of over 95%, significantly higher than traditional motion sensors.
Proactive Heads Up
RelyAi provides a preventative and proactive heads-up, allowing healthcare professionals to intervene before a resident or patient is at risk of falling or making a risky movement that could lead to a fall.
User Satisfaction
Users appreciate knowing Ruby's early warning system will enable timely action and to reduce the likelihood of serious injuries.
Market Growth
The global elderly care market is projected to grow at a CAGR of 8.5% over the next five years, driven by increasing demand for innovative safety solutions like RelyAi.
Why Us?
Advanced Technology
RelyAi uses advanced proprietary sensors along with powerful AI algorithms to deliver superior accuracy in movement detection and risk prediction.
Non-Intrusive Design
Our solution ensures privacy and comfort by eliminating the need for cameras or wearable devices, allowing the elderly to live naturally without feeling monitored.
Real-Time Responsiveness
Immediate alerts allow caregivers to quickly respond to potential risks, minimizing the chances of severe injuries from falls or other incidents while also addressing “alarm fatigue” caused by false alarms.
Customizable Solutions
RelyAi adapts to the specific needs of each user, offering customizable alert thresholds and reporting options to fit diverse caregiving environments.
Proven Reliability
With rigorous testing and continuous improvement, RelyAi stands as a dependable partner in elderly care, trusted by families and professionals alike.
A PERSONAL JOURNEY YOU CAN RELY ON
We began with a vision to prevent falls – before they happen.
RelyAi’s cutting-edge solution was born from the vision of Tom and Derek, who identified the need for a more proactive and personalized approach to monitoring residents and patients in healthcare facilities. With over 16 years of experience in healthcare staffing, they understood the challenges faced by both patients and caregivers in ensuring safety while maintaining dignity and independence. Tom and Derek developed the initial concept for RelyAi, and then brought together a talented team of engineers to help bring this vision to life.
Revolutionizing healthcare technology through proprietary AI sensors that operate without the need for invasive cameras or recording devices.
The result is a proprietary system that combines advanced AI algorithms with custom-designed sensors and a mobile app to provide seamless, real-time monitoring and risk management. The AI-based system continually learns about each specific resident or patient after deployment, adapting to their unique movement patterns to provide a truly customized solution. This personalized approach reduces false alarms, minimizes alarm fatigue, and ensures that care providers receive timely, accurate alerts when potential risks are detected. By offering real-time insights into movement patterns, RelyAi helps caregivers respond promptly to any concerns, ultimately enhancing safety and improving care outcomes.
With automated, time-saving incident reporting built in.
Caregivers can take advantage of optional features in the mobile app, like task management for organizing schedules and a live incident response tool for easy, real-time documentation. This allows for quick recording of events such as a resident’s assistance request or a safety concern, helping to keep records accurate and up-to-date.
Together, the RelyAi system empowers healthcare professionals and families to better manage the risks associated with elderly care while preserving the comfort and dignity of the residents.