About the Client
The client is a leading healthcare provider specializing in elderly care facilities. With multiple residential care homes across the country, the organization is committed to improving patient safety and enhancing the quality of life for elderly residents through innovative healthcare solutions.
Business Challenge
Elderly residents are at a high risk of falls, which can lead to severe injuries, hospitalizations, and increased healthcare costs. The client sought a predictive analytics solution to identify at-risk residents and implement proactive measures to prevent falls. The key challenges included:
- Lack of real-time monitoring and predictive insights.
- High medical expenses due to fall-related injuries.
- Limited staffing resources to provide 24/7 monitoring.
- Need for an AI-driven, data-centric approach to fall prevention.
Services Offered
RT Global provided a comprehensive data-driven solution that included:
- Implementation of AI-powered predictive analytics to assess fall risks.
- Integration of IoT-enabled wearable devices for real-time monitoring.
- Development of a centralized dashboard for tracking risk indicators.
- Custom alerts and notifications for caregivers to take preventive action.
- Training and support to ensure seamless adoption of the solution.
Our Approach / How RT Global Helped
RT Global followed a structured, four-phase approach to address the client’s needs:
- Data Collection & Integration:
- Collected historical patient data, including medical history, mobility patterns, and past fall incidents.
- Integrated IoT sensors and wearable devices to track movement, gait stability, and vitals in real time.
- AI Model Development:
- Designed and trained a machine learning model to predict fall risks based on key indicators.
- Applied advanced analytics to identify high-risk residents and potential triggers.
- Real-Time Monitoring & Alerts:
- Developed a centralized monitoring system with live dashboards for caregivers.
- Implemented automated alerts to notify staff of residents at imminent risk of falling.
- Implementation & Training:
- Deployed the solution across multiple care facilities.
- Provided training sessions to caregivers and staff for efficient system utilization.
Results & Outcomes
The implementation of the Residents Fall Prediction Project resulted in significant improvements, including:
- 30% Reduction in Fall Incidents: Proactive interventions minimized fall-related injuries.
- Enhanced Patient Safety: Real-time monitoring ensured immediate response to potential risks.
- Operational Efficiency: Caregivers could prioritize high-risk residents, improving care quality.
- Cost Savings: Reduced hospitalizations led to lower medical expenses and improved resource allocation.
- Data-Driven Decision Making: The AI-powered system provided valuable insights for continuous improvement.
Through this innovative solution, RT Global successfully empowered the client to enhance resident safety, optimize caregiving efforts, and leverage predictive analytics for improved healthcare outcomes.
