IoT-enabled Smart Hospital Bed with AI-driven Patient Fall Detection and Prevention System

Abstract

This invention relates to an IoT-enabled smart hospital bed integrated with an AI-driven patient fall detection and prevention system designed to enhance patient safety. The smart bed utilizes pressure sensors, accelerometers, gyroscopes, and vital sign monitors to continuously track the patient’s movements and health parameters. Data collected by these sensors is analyzed by an AI-based predictive model, which detects abnormal movement patterns and identifies fall risks in real-time. When a fall risk is detected, the system triggers automatic preventive actions such as adjusting the bed height, activating side rails, or tilting the bed to ensure patient stability. The system also features an IoT communication module that alerts caregivers via mobile apps or hospital dashboards, enabling rapid intervention. The smart bed integrates seamlessly with hospital management systems and electronic health records (EHRs), ensuring a comprehensive solution for modern healthcare environments. This invention offers significant advantages in proactive fall prevention, real-time patient monitoring, improved caregiver efficiency, and data-driven patient care, making it highly applicable for hospitals, nursing homes, and other healthcare facilities.

Specification

Description:This invention relates to an IoT-enabled smart hospital bed integrated with an AI-driven patient fall detection and prevention system designed to enhance patient safety. The smart bed utilizes pressure sensors, accelerometers, gyroscopes, and vital sign monitors to continuously track the patient's movements and health parameters. Data collected by these sensors is analyzed by an AI-based predictive model, which detects abnormal movement patterns and identifies fall risks in real-time. When a fall risk is detected, the system triggers automatic preventive actions such as adjusting the bed height, activating side rails, or tilting the bed to ensure patient stability. The system also features an IoT communication module that alerts caregivers via mobile apps or hospital dashboards, enabling rapid intervention. The smart bed integrates seamlessly with hospital management systems and electronic health records (EHRs), ensuring a comprehensive solution for modern healthcare environments. This invention offers significant advantages in proactive fall prevention, real-time patient monitoring, improved caregiver efficiency, and data-driven patient care, making it highly applicable for hospitals, nursing homes, and other healthcare facilities. , Claims:1. smart hospital bed, comprising:
o Embedded pressure sensors, accelerometers, and vital sign sensors for continuous patient monitoring;
o A communication module using IoT protocols to transmit data to caregivers and hospital dashboards.
2. The system of claim 1, wherein the bed utilizes an AI-driven predictive model to analyze real-time data and predict patient falls.
3. The system of claim 2, wherein the AI model uses LSTM networks for time-series analysis of patient movements.
4. The system of claim 1, further comprising:
o Automatic bed adjustment mechanisms to prevent patient falls based on predicted movements.
5. The system of claim 1, wherein the communication module sends alerts and notifications to caregivers in case of high fall risk or emergencies.
6. The system of claim 2, further comprising a touchscreen control interface that allows caregivers to manually adjust bed settings and monitor patient data.
7. The system of claim 3, wherein the bed communicates with hospital management systems and integrates with electronic health records (EHRs).

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