Smart Bed Digital Twin Control for Immobile Patient Repositioning
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Solution Overview
Problem
Current systems require multiple caregivers to move acutely immobile patients, risking aggravation of medical conditions and lack real-time adjustments for patient comfort and safety.
Innovation Solution
An AI-infused system using digital twin technology and IoT sensors to model patient and environmental data, enabling dynamic three-dimensional rolling of patients on smart beds with segmented rollers, adjusting positions to prevent discomfort and potential health issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If multiple caregivers manually move the patient, then patient mobility is achieved, but patient safety deteriorates due to risk of aggravating medical conditions
Solution Approach 1:
The system enables automated patient repositioning through the smart bed mechanism, eliminating the need for manual caregiver intervention. The bed automatically adjusts patient position based on monitored parameters, allowing the patient to benefit from continuous positioning adjustments without human physical contact that could aggravate medical conditions.
Solution Approach 2:
The patent replaces manual mechanical manipulation by caregivers with an automated mechanical system. Sensors detect patient position and physiological parameters, triggering automated bed adjustments that substitute human physical handling with controlled mechanical movement, thereby improving safety while maintaining mobility benefits.
2Ease of operation
If manual patient repositioning is performed, then patient comfort can be adjusted, but real-time adjustments are lost due to human response time limitations
Solution Approach 1:
The system continuously monitors patient position, physiological parameters, and environmental conditions through integrated sensors. This real-time feedback loop enables the automated system to detect when repositioning is needed and execute adjustments immediately, eliminating the delayed human response inherent in manual caregiving and ensuring timely comfort optimization.
Solution Approach 2:
The automated system provides continuous monitoring and adjustment capability, maintaining optimal patient positioning without interruption. Unlike manual repositioning that occurs periodically based on caregiver availability, the system operates continuously, ensuring real-time comfort adjustments and preventing discomfort or complications from prolonged static positioning.
3Productivity
If automated systems are implemented, then productivity improves by reducing caregiver burden, but device complexity increases
Solution Approach 1:
The smart bed system integrates multiple functions into a single platform: patient positioning, physiological monitoring, environmental sensing, and automated control. This multi-functionality consolidates what would otherwise require separate devices and caregiver tasks into one unified system, improving productivity while managing complexity through functional integration rather than proliferation of separate components.
Data Source
AI summary
An approach for providing movement settings for a smart bed associated with an immobile patient is disclosed. The approach includes retrieving patient data and retrieving environmental data. The approach analyses patient profile and creates a digital twin of patient. In the digital twin environment, the approach models the patient movement and send patient movement setting based on desired outcome. Finally, the approach sends instructions to the smart patient bed.