Respiratory Therapy Settings Porting With Server Validation
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Solution Overview
Problem
Existing respiratory therapy systems face challenges in efficiently porting therapy settings between devices, requiring manual intervention, are costly, time-consuming, and prone to errors, and lack automated methods for checking therapy quality and patient compliance.
Innovation Solution
A system and method for automatically porting respiratory therapy settings between devices, including checking therapy quality indicators and patient status changes, using a prescription database and interface to ensure seamless transition while ensuring compliance and efficacy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual porting of therapy settings is used, then device complexity is reduced, but productivity decreases and errors increase
Solution Approach 1:
A prescription server acts as an intermediary between the first and second respiratory therapy devices. The server receives a porting request with device identifiers, retrieves prescription settings from a database, validates them, and transmits the settings to the target device, eliminating manual porting while maintaining system simplicity
Solution Approach 2:
The porting system is segmented into separate functional components: a database for storing prescriptions, a server for processing requests and validating settings, and client devices for initiating and receiving porting operations. This modular architecture improves productivity without overwhelming complexity
2Productivity
If automated porting is implemented, then productivity increases, but device complexity increases
Solution Approach 1:
The system enables self-service automated porting where the prescription server automatically retrieves, validates, and transfers therapy settings without requiring manual intervention. The server autonomously queries the database, processes validation rules, and completes the transfer, achieving high automation with centralized control that manages complexity
3Measurement precision
If manual validation of therapy settings is performed, then measurement precision is reduced, but ease of operation is improved
Solution Approach 1:
The prescription server implements automated feedback mechanisms by querying patient data from the database, comparing current therapy settings against historical effectiveness data and compliance metrics, and automatically validating whether settings should be ported. This computerized feedback loop ensures precise measurement of therapy quality while maintaining ease of operation through automated decision-making
4Reliability
If comprehensive patient status checking is performed, then reliability increases, but time consumption increases
Solution Approach 1:
Patient compliance data and therapy effectiveness metrics are pre-stored in the prescription database before porting is needed. When a porting request occurs, the server performs rapid validation by querying these pre-collected data points rather than gathering information in real-time, achieving comprehensive reliability checks without time consumption penalties
Data Source
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AI summary
Disclosed is a method for automatically porting respiratory therapy settings to a new respiratory therapy device. Currently, when a patient replaces receives a replacement respiratory therapy device, the prescription settings must be manually ported. Accordingly, the inventors have developed technology to automatically, port, translate, and validate therapy settings and modes to a replacement respiratory therapy device.