Respiratory Therapy Compliance Prediction From Usage Trends
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Solution Overview
Problem
Existing respiratory therapies, such as CPAP and NIV, suffer from discomfort, difficulty of use, and poor compliance due to inadequate patient interfaces and RPT devices, leading to suboptimal treatment outcomes for respiratory disorders.
Innovation Solution
Development of improved patient interfaces with adaptive seal-forming structures and RPT devices that enhance comfort and ease of use, combined with data management systems to monitor and predict patient compliance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional patient interfaces and RPT devices are used, then device simplicity is maintained, but patient compliance deteriorates due to discomfort and difficulty of use
Solution Approach 1:
The patient interface incorporates an adaptive seal-forming structure that dynamically adjusts to patient movements and facial contours during sleep, maintaining effective sealing without requiring manual adjustment or complex positioning by the patient
Solution Approach 2:
The seal-forming structure automatically adapts to the patient's face through elastic deformation and self-positioning mechanisms, eliminating the need for patient intervention or complex adjustment procedures
2Reliability
If traditional patient interfaces and RPT devices are used, then device complexity is minimized, but patient compliance deteriorates due to discomfort
Solution Approach 1:
The seal-forming structure utilizes flexible elastic materials that naturally conform to the patient's facial contours, providing comfort and effective sealing without requiring complex rigid structures or multiple adjustable components
Solution Approach 2:
The elastic seal-forming structure changes its physical parameters (shape, position, contact pressure) in response to patient movements and facial variations, maintaining comfort and effectiveness without complex control systems
3Reliability
If basic data management is used, then system simplicity is maintained, but treatment optimization deteriorates due to inability to predict compliance issues
Solution Approach 1:
The system continuously collects usage data from the RPT device and patient interface, processes this information through compliance prediction algorithms, and provides feedback to clinicians to optimize treatment and address compliance issues before they become critical
Solution Approach 2:
The compliance prediction system analyzes usage patterns in advance to identify potential compliance issues or treatment optimizations before they significantly impact treatment outcomes, allowing proactive intervention
Data Source
AI summary
Systems and methods have been developed to increase user compliance and adherence to various devices and services including respiratory therapy devices, exercise equipment, and online or other software services. For instance, in some examples the disclosed technology may monitor usage data output from a respiratory therapy device, exercise equipment or computer software program to determine, based on the trends of usage, when a user is likely to terminate or reduce usage within a specified time window. Flagging a user may also trigger further actions to automatically intervene before the user terminates engagement with the service.