Personalized Sleep Therapy Feedback System
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Solution Overview
Problem
Patients with sleep disordered breathing conditions, such as obstructive sleep apnea, face challenges in managing their therapy effectively due to a lack of personalized education and feedback, leading to suboptimal compliance with treatment protocols.
Innovation Solution
A system comprising a pressure support system, a central computer system, and a portable electronic device that provides customized education and feedback to patients, using data measured during therapy to offer guidance on system usage, data transfer methods, and solutions to encountered problems, thereby enhancing patient engagement and therapy compliance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If patients receive standard therapy without personalized education and feedback, then the therapy delivery is simple, but patient compliance is low
Solution Approach 1:
The system continuously collects therapy data from the pressure support system, processes this data to generate personalized feedback reports, and delivers them to patients through portable electronic devices. This feedback loop enables patients to understand their therapy compliance and outcomes, motivating them to maintain high compliance levels.
Solution Approach 2:
The system divides therapy management into distinct functional modules: data collection from the pressure support system, data processing and analysis, generation of personalized education content, and delivery through portable electronic devices. This segmentation allows each module to be optimized independently while working together to improve overall compliance.
2Reliability
If the system provides comprehensive personalized education and feedback, then patient compliance improves, but data processing requirements increase
Solution Approach 1:
The system extracts only the most relevant therapy data parameters needed for compliance assessment and personalized feedback generation, rather than processing all available data. This selective extraction reduces data processing load while maintaining the quality and personalization of feedback provided to patients.
Solution Approach 2:
The system creates simplified copies or representations of complex therapy data in the form of user-friendly visual reports and summaries that can be easily displayed on portable electronic devices. These copied representations convey essential information without requiring processing of the full raw data set.
3Adaptability or versatility
If the system collects and processes therapy data for personalized feedback, then patient engagement increases, but system complexity increases
Solution Approach 1:
The system is designed with multi-functional portable electronic devices that can serve both as therapy monitoring platforms and as general patient engagement tools. This universality allows the system to provide personalized feedback while avoiding the need for dedicated complex hardware, thereby reducing overall system complexity.
Solution Approach 2:
The portable electronic device acts as an intermediary between the pressure support system and the patient, handling data communication, processing, and presentation. This intermediary role simplifies the interface between the complex therapy delivery system and the patient, making the overall system more manageable and less complex from the user perspective.
Data Source
AI summary
A tool is provided for use in conjunction with a pressure support system that is structured to provide therapy to a patient to treat a condition of the patient by delivering a flow of breathing gas to the patient. The tool may be implemented on a portable electronic device or a PC and is configured to, among other things, provide customized/personalized education and feedback to the patient based, at least in part, on data that is measured by the pressure support system during the provision of therapy to the patient. The tool utilizes certain patient/therapy metrics, where each patient/therapy metric includes raw data that was measured by the pressure support system and that has been processed (e.g., summarized and/or otherwise manipulated) to form the patient/therapy metric.