Patient Interface Configuration via Equivalent Effort Parameter
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Solution Overview
Problem
Existing patient monitoring systems do not account for the physical impediments caused by pulmonary and/or cardiac diseases, leading to demotivation and decreased physical activity in patients, as they compare raw physiological parameters with those of healthy individuals without consideration for disease-related exertion.
Innovation Solution
A system and method that determine an equivalent effort parameter by comparing physiological measurements of patients with clinical coefficients to those of healthy subjects, allowing for configuration modifications in patient interface computer systems to motivate and adjust activities based on translated effort levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If raw physiological parameters are compared between patients and healthy individuals, then objective measurement is maintained, but patient motivation decreases due to inability to account for disease-related exertion
Solution Approach 1:
The system transforms raw physiological parameters into effort parameters by applying disease-specific conversion factors. This parameter transformation allows the system to maintain measurement objectivity while adjusting the interpretation of physiological data to account for disease-related limitations, thereby improving patient motivation without sacrificing measurement precision
Solution Approach 2:
The effort parameter serves as an intermediary between raw physiological measurements and patient motivation. It translates objective physiological data into a meaningful metric that reflects actual exertion level adjusted for disease impact, bridging the gap between cold hard measurements and patient psychological state
2Device complexity
If disease-related exertion is not accounted for in comparisons, then system complexity is reduced, but patient activity levels decrease due to demotivation
Solution Approach 1:
The system introduces disease-specific conversion factors that transform physiological parameters into effort parameters. This parameter change approach allows the system to handle disease-related variations without requiring complex structural modifications, maintaining system simplicity while improving patient activity levels through more accurate effort assessment
Solution Approach 2:
The system segments the physiological parameter comparison into separate components: raw parameter measurement, disease-specific conversion factor application, and effort parameter calculation. This segmentation allows the disease accounting mechanism to be integrated as a modular process rather than a complex system redesign
3Ease of operation
If effort parameters are translated to equivalent effort levels, then patient motivation improves through fair comparisons, but system complexity increases due to additional processing requirements
Solution Approach 1:
The system uses parameter transformation with disease-specific conversion factors to translate effort parameters into equivalent effort levels. This mathematical transformation approach improves patient motivation through fair comparisons while keeping the processing complexity manageable through the use of predefined conversion factors rather than complex algorithms
Solution Approach 2:
The system creates a virtual copy of the patient's effort parameter profile by translating to equivalent effort levels. This copying mechanism allows for fair comparisons with healthy individuals or peers without requiring direct complex interaction with the patient's actual physiological limitations, simplifying the comparison process while maintaining motivation
Data Source
AI summary
The present disclosure pertains to a system for facilitating configuration modifications for a patient interface computer system based on an equivalent effort parameter. In some embodiments, the system obtains (i) one or more first measurements associated with a first subject, the first subject having a clinical coefficient, (ii) one or more second measurements associated with a second subject. The system determines (i) a first effort parameter based on the one or more first measurements, (ii) a second effort parameter based on the one or more second measurements, and (iii) an equivalent effort factor for the first subject based on the one or more first measurements, the one or more second measurements, and the clinical coefficient. The system causes a configuration of the patient interface computer system to be modified based on the equivalent effort factor.