Respiratory Therapy Mode Unlocking via Usage Data
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Solution Overview
Problem
Current respiratory therapy modes, such as CPAP, may not be effective for all subjects, leading to ongoing respiratory disturbances despite adherence to therapy.
Innovation Solution
A system and method for configuring respiratory therapy modes that includes a data gathering module, provider interface module, and device configuration module to receive usage information, unlock and activate alternative therapy modes, and deactivate them after a predetermined trial period, allowing for personalized therapy adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single therapy mode (e.g., CPAP) is prescribed to all subjects, then the device complexity is reduced and ease of operation is improved, but treatment effectiveness deteriorates for subjects who do not respond well to that mode
Solution Approach 1:
The respiratory therapy device is designed to support multiple therapy modes (CPAP, BiLevel, ST, etc.) within a single device, allowing it to serve different patient needs without requiring multiple specialized devices. The system includes a therapy mode module that can switch between different therapeutic approaches based on patient requirements.
Solution Approach 2:
The device incorporates dynamic configuration capabilities where therapy modes can be activated, deactivated, and switched based on real-time patient response and clinical guidelines. The system dynamically adjusts which therapy modes are available and appropriate for each subject based on their individual treatment needs and outcomes.
2Adaptability or versatility
If multiple therapy modes are available for each subject, then adaptability and treatment effectiveness are improved, but the ease of operation deteriorates due to increased complexity in mode selection and configuration
Solution Approach 1:
The system incorporates automated features that reduce manual configuration complexity. The device can automatically determine appropriate therapy modes based on patient data, clinical guidelines, and treatment outcomes. Automated workflows guide providers through mode selection and configuration processes, reducing the burden of manual setup while maintaining access to multiple therapy options.
Solution Approach 2:
The system uses feedback from patient response to therapy, usage data, and treatment outcomes to dynamically adjust and recommend appropriate therapy modes. This feedback mechanism helps automate mode selection by learning from patient responses and suggesting optimal configurations, reducing the complexity of manual mode selection while improving adaptability.
3Adaptability or versatility
If alternative therapy modes are unlocked and activated based on provider selection, then adaptability is improved, but the device complexity increases due to additional configuration options and management requirements
Solution Approach 1:
The system pre-configures multiple therapy modes and clinical guidelines within the device, preparing them in advance for potential use. Alternative therapy modes are pre-loaded and organized according to clinical protocols, allowing providers to select from pre-prepared options rather than configuring everything from scratch. This preliminary preparation reduces the complexity of managing multiple therapy modes during actual patient care.
Data Source
AI summary
A respiratory therapy device is configured, e.g. by a care provider, such that a second therapy mode different from the current therapy mode is unlocked, under predetermined circumstances and a third therapy mode different from the current and the second therapy mode is unlocked, under predetermined circumstances. The user of a given respiratory therapy device may activate the unlocked second or third therapy mode. The second or the third therapy mode may expire after a predetermined amount of usage, and be deactivated.