IoT-Driven Intelligent Hospital Bed with AI-Based Patient Safety and Fall Prevention System

Abstract

This invention relates to an intelligent hospital bed system enhanced with Internet of Things (IoT) connectivity and artificial intelligence (AI) to provide continuous patient monitoring, fall detection, and preventive measures aimed at enhancing patient safety in healthcare settings. The IoT-enabled bed is equipped with an array of embedded sensors that monitor key patient metrics such as movement, position, and vital signs. Through AI algorithms, the system analyzes data in real time to detect high-risk situations, predict potential falls, and proactively alert caregivers. The bed’s fall prevention mechanism includes dynamic adjustments to the bed's position and height, guided by AI, to stabilize the patient when movements indicative of a potential fall are detected. The system further integrates with hospital networks to ensure seamless communication between caregivers, allowing remote monitoring, real-time alerts, and predictive insights on patient health trends. This IoT-driven intelligent bed enhances patient safety, reduces fall-related incidents, and improves overall quality of care in hospitals and healthcare facilities.

Specification

Description:This invention relates to an intelligent hospital bed system enhanced with Internet of Things (IoT) connectivity and artificial intelligence (AI) to provide continuous patient monitoring, fall detection, and preventive measures aimed at enhancing patient safety in healthcare settings. The IoT-enabled bed is equipped with an array of embedded sensors that monitor key patient metrics such as movement, position, and vital signs. Through AI algorithms, the system analyzes data in real time to detect high-risk situations, predict potential falls, and proactively alert caregivers. The bed's fall prevention mechanism includes dynamic adjustments to the bed's position and height, guided by AI, to stabilize the patient when movements indicative of a potential fall are detected. The system further integrates with hospital networks to ensure seamless communication between caregivers, allowing remote monitoring, real-time alerts, and predictive insights on patient health trends. This IoT-driven intelligent bed enhances patient safety, reduces fall-related incidents, and improves overall quality of care in hospitals and healthcare facilities. , C , 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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