Respiratory Therapy Compliance Feedback for Adaptive Pressure Settings
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Solution Overview
Problem
Existing respiratory therapy systems face challenges with patient compliance due to discomfort, inefficiency, and lack of personalized optimization, leading to suboptimal treatment outcomes and high dropout rates.
Innovation Solution
A self-optimizing respiratory therapy system that adjusts therapy settings and patient interface based on real-time data analysis to identify an optimal therapy program, enhancing comfort and compliance through a closed-loop system that learns and adapts to individual patient needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If respiratory therapy systems use fixed therapy settings and patient interfaces, then device complexity is reduced, but patient compliance and comfort deteriorate due to lack of personalization
Solution Approach 1:
The system automatically monitors patient responses to therapy, analyzes compliance data, and adjusts therapy settings without requiring manual intervention from clinicians. The processor continuously optimizes therapy parameters based on real-time feedback from pressure sensors and compliance tracking, enabling the system to self-adjust and personalize treatment for each patient.
Solution Approach 2:
The system incorporates continuous feedback loops where patient compliance data, pressure measurements, and therapy responses are monitored and fed back to the processor. This feedback mechanism enables automatic adjustment of therapy settings to optimize patient comfort and compliance while maintaining effective treatment.
2Reliability
If respiratory therapy systems continuously monitor and adjust therapy settings, then patient compliance improves, but use of energy and computational resources increases
Solution Approach 1:
The system performs continuous monitoring of critical parameters such as pressure and compliance metrics, while adjusting therapy settings at optimized intervals rather than constantly recalculating all parameters. This partial action approach maintains therapy efficacy by monitoring essential variables continuously while reducing computational overhead by updating settings only when necessary based on threshold-based triggers.
3Productivity
If respiratory therapy systems require manual adjustment of settings, then ease of manufacture is improved, but productivity and treatment optimization are reduced
Solution Approach 1:
The system replaces manual mechanical adjustment of therapy settings with automated electronic control. A processor continuously analyzes compliance data and automatically adjusts pressure parameters, replacing the need for manual clinician intervention. This substitution of manual mechanical adjustment with automated electronic control significantly accelerates therapy optimization while the standardized implementation maintains ease of manufacture.
Data Source
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AI summary
The present invention discloses a method of monitoring use of a respiratory pressure therapy device for treating a respiratory disorder of a patient, the method comprising receiving data representing a compliance prediction about the progress of the respiratory therapy, wherein the data representing the compliance prediction comprises a score indicating a probability that the patient will be compliant with a predetermined compliance rule, wherein the score is generated by applying a compliance model, determining whether an action is needed, comprising determining whether the score has been less than or equal to a first threshold, and less than or equal to a score computed at a previous session, for a number of sessions equal to a first count threshold, determining whether the score is not greater than the score computed at the previous session, selecting an action with the processor to improve the respiratory therapy based on the data representing the compliance prediction; and taking or prompting the selected action with the processor to improve the respiratory therapy, wherein taking or prompting the selected action comprises sending a control command to the respiratory pressure therapy device to change one or more settings, sending a message to a patient computing device to prompt the patient to adjust one or more settings of the respiratory pressure therapy device, and/or sending a message to a health care provider to prompt a technician or health care professional to be dispatched to the patient to adjust one or more settings of the respiratory pressure therapy device.