Adaptive Blood Fluid Removal System with Real-Time Physiological Feedback
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Solution Overview
Problem
Current blood fluid removal procedures for patients undergoing hemodialysis or similar treatments often lead to cardiac complications due to inadequate monitoring of patient and system parameters, resulting in electrolyte and pH imbalances, and rapid changes during fluid removal processes.
Innovation Solution
A method and system for monitoring patient physiological parameters and adjusting blood fluid removal system parameters to identify effective and ineffective settings, using a learning algorithm to associate system parameters with patient responses, allowing for personalized therapy by avoiding harmful parameters and employing those that yield improved outcomes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If routine monthly examinations are used to set blood fluid removal parameters, then the procedure is simple and easy to operate, but the therapy is not sufficiently personalized and may not optimize patient outcomes
Solution Approach 1:
The system continuously monitors patient physiological parameters during blood fluid removal sessions and uses this feedback to dynamically adjust treatment parameters. The processor compares real-time patient responses with target ranges and automatically modifies system parameters to optimize therapy personalization while maintaining operational simplicity.
Solution Approach 2:
The system performs self-adjustment of treatment parameters based on automated monitoring and analysis of patient responses. The processor independently determines optimal parameter settings by evaluating patient physiological data against target ranges, reducing the need for frequent manual examinations while providing personalized therapy.
2Adaptability or versatility
If system parameters are frequently adjusted to personalize therapy, then patient-specific treatment is improved, but the complexity of monitoring and adjusting parameters increases
Solution Approach 1:
The system integrates multiple functions into a single automated platform: monitoring physiological parameters, analyzing patient responses, determining target ranges, and adjusting treatment parameters. This multi-functional approach enables personalized therapy while consolidating complexity into one unified system rather than requiring separate devices for each function.
Solution Approach 2:
The system replaces manual monitoring and adjustment procedures with automated electronic monitoring and computer-based parameter adjustment. The processor automatically analyzes patient physiological data and determines optimal parameter settings, eliminating the need for frequent manual examinations and reducing operational complexity.
3Productivity
If rapid fluid removal is performed to increase productivity, then treatment efficiency is improved, but cardiac stress on patients increases and safety is compromised
Solution Approach 1:
The system dynamically adjusts fluid removal rates based on real-time patient physiological responses. Rather than using fixed rapid removal rates, the processor continuously monitors patient condition and modifies the removal rate to match patient tolerance and target parameter ranges, maintaining efficiency while reducing cardiac stress.
Solution Approach 2:
The system uses real-time feedback from patient physiological monitoring to control fluid removal rates. The processor compares monitored parameters against target ranges and automatically adjusts removal speed to prevent excessive cardiac stress while maintaining productive treatment pace.
4Reliability
If comprehensive monitoring of patient parameters is implemented to improve safety, then patient outcomes are improved, but the complexity and cost of the system increases
Solution Approach 1:
The monitoring system is integrated with the treatment control system, serving dual purposes: monitoring patient safety parameters and automatically adjusting treatment parameters. This multi-functional integration improves safety while avoiding the need for separate complex monitoring and control systems.
Solution Approach 2:
The system uses automated electronic monitoring and computer-based analysis to replace manual parameter assessment. The processor automatically evaluates patient physiological data against target ranges, providing comprehensive safety monitoring through software-based algorithms rather than requiring complex manual assessment procedures.
Data Source
AI summary
Methods for monitoring patient parameters and blood fluid removal system parameters include identifying those system parameters that result in improved patient parameters or in worsened patient parameters. By comparing the patient's past responses to system parameters or changes in system parameters, a blood fluid removal system may be able to avoid future use of parameters that may harm the patient and may be able to learn which parameters are likely to be most effective in treating the patient in a blood fluid removal session.