Pressure Ulcer Monitoring With Cumulative Risk Sensing
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Solution Overview
Problem
Current methods for preventing pressure ulcers are inadequate as they fail to consider cumulative pressure over time and do not account for patient-specific factors, leading to ineffective prevention and costly treatments.
Innovation Solution
A sensor device with integrated pressure, temperature, and moisture sensors, along with a processing unit, analyzes patient-specific data to calculate a diagnostic value for pressure ulcer risk, using machine learning algorithms to provide real-time alerts and automate patient movement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional pressure sensors integrated into patient supports are used, then pressure measurements can be obtained, but the measurements are disrupted when the patient is turned and cumulative pressure impact over time cannot be considered
Solution Approach 1:
The patent divides the monitoring system into multiple independent pressure sensors distributed across the patient support surface, each capable of independent measurement. This segmentation allows continuous monitoring even when patient position changes, as multiple sensors can track pressure at different locations without disrupting the overall monitoring capability.
Solution Approach 2:
The system pre-establishes a network of pressure sensors across the patient support before the patient is positioned. This preliminary arrangement ensures that regardless of patient positioning or turning, there are always active sensors in proximity to monitor pressure, eliminating the disruption problem of conventional single-point measurement systems.
2Speed
If simple pressure threshold alerts are used, then immediate warnings can be provided, but patient-specific factors and accumulated pressure effects over time are not considered
Solution Approach 1:
The system continuously integrates pressure data over time rather than relying on discrete threshold checks. This continuous accumulation of pressure information allows the system to provide both immediate alerts for critical situations and accurate long-term risk assessment by considering the cumulative effect of pressure exposure on patient-specific tissue vulnerability.
Solution Approach 2:
The system implements feedback loops where pressure measurements are continuously fed into patient-specific risk models that adjust alerts based on accumulated data. This feedback mechanism enables the system to distinguish between transient pressure spikes and sustained pressure patterns that truly indicate ulcer risk, improving assessment accuracy while maintaining rapid response capability.
3Adaptability or versatility
If multiple patient-specific parameters are monitored, then personalized risk assessment can be achieved, but system complexity and data processing requirements increase
Solution Approach 1:
The patent implements a universal data processing platform that can handle multiple patient-specific parameters (weight, mobility, nutrition, existing ulcers) through a single integrated system architecture. This multi-functional approach allows personalized risk assessment without requiring separate complex systems for each parameter, as the unified platform processes all inputs through standardized algorithms.
Solution Approach 2:
The system transforms multiple patient-specific parameters into a standardized risk score through mathematical modeling and machine learning algorithms. By converting diverse inputs (weight, mobility, nutrition status) into a unified risk metric, the system achieves personalized assessment capability while maintaining manageable system complexity through parameter transformation rather than direct multi-parameter management.
Data Source
AI summary
Systems, devices, and methods of the present application relate to the diagnostic measurement of condition for pressure ulcers. Preferred embodiments utilize pressure measurements at body locations to determine a diagnostic pressure ulcer value. A pressure sensor device generates patient pressure data that is processed by a data processor which utilizes a diagnostic function to determine the diagnostic value that indicates whether corrective action is needed to prevent pressure ulcer formation. One or more sensor devices can be attached to a patient to measure to transmit data for further processing.