Image-based patient risk behavior monitoring system and method thereof
The image-based patient risk behavior monitoring system addresses the inefficiency of manual high-risk classification by analyzing patient behavior and EMR data to objectively classify fall risk, optimizing resource allocation in healthcare facilities.
Patent Information
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- GEOMEXSOFT
- Filing Date
- 2025-10-23
- Publication Date
- 2026-06-04
AI Technical Summary
Existing high-risk patient classification systems in hospitals rely heavily on manual assessment, leading to overclassification of patients as high-risk, thereby overburdening healthcare facilities and making efficient management difficult.
An image-based patient risk behavior monitoring system that uses cameras and a server with a processor and storage unit to analyze patient location, posture, and interacting objects, determining risky behaviors and classifying fall risk through a patient analysis model, generating logs, and calculating fall risk based on behavior and EMR data.
The system objectively monitors and classifies patient risk behaviors, reducing unnecessary high-risk classifications and enabling efficient fall risk management by focusing resources on patients who genuinely require it.
Smart Images

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