Auto-Titrator Sleep Data Analysis for Diagnosis Efficiency
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Solution Overview
Problem
Current methods for diagnosing and treating sleep disorders, particularly obstructive sleep apnea, are inefficient, costly, and ineffective due to under-diagnosis, poor data management, and lack of patient privacy and security, leading to delayed diagnosis and treatment, and loss of valuable healthcare data.
Innovation Solution
A system and method utilizing an auto-titrator for in-home sleep therapy data collection and analysis, transmitting data to a remote server for real-time monitoring and therapy adjustments, providing alerts, and storing data securely in a HIPAA HITECH compliant database for personalized dashboards and therapy intervention recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If conventional sleep disorder diagnosis methods are used, then diagnosis can be performed, but the process is delayed by weeks to months and requires multiple visits to sleep laboratories
Solution Approach 1:
The system performs preliminary diagnostic actions by collecting sleep data in the patient's home environment before the patient arrives at the sleep laboratory. The home sleep study kit captures baseline sleep parameters, allowing the sleep physician to pre-evaluate the patient and schedule the in-lab visit more efficiently, thereby reducing overall diagnosis time and improving productivity
Solution Approach 2:
The patent introduces an intermediary home sleep study system that bridges the gap between initial sleep assessment and formal laboratory diagnosis. This intermediary device collects and transmits sleep data to the sleep physician, enabling preliminary evaluation and reducing the need for multiple sequential visits to the sleep laboratory, thus accelerating the diagnosis process
2Ease of operation
If home sleep therapy machines are used, then therapy can be administered, but data collection and privacy protection are insufficient according to HIPAA HITECH Act requirements
Solution Approach 1:
The system implements feedback mechanisms that continuously monitor and evaluate sleep therapy effectiveness by analyzing collected data against established criteria. The system provides feedback to both the sleep physician and patient about therapy performance, enabling data-driven adjustments to treatment protocols while maintaining HIPAA HITECH Act compliance through secure data handling throughout the feedback loop
Solution Approach 2:
The patent enables self-service by allowing patients to access and view their own sleep data and therapy effectiveness information through secure patient portals. Patients can independently monitor their therapy progress, review sleep studies, and communicate with their sleep physician without requiring manual data extraction or transfer, thereby improving accessibility while maintaining data security through encrypted self-service interfaces
3Productivity
If technicians perform sleep studies, then data collection is conducted, but quality and reliability vary due to varying levels of training and knowledge
Solution Approach 1:
The patent replaces manual mechanical data collection and scoring processes with automated electronic systems. The home sleep study kit and associated software automatically capture sleep parameters, process the data according to standardized algorithms, and generate reports without requiring manual scoring by technicians. This substitution of mechanical manual processes with automated electronic systems eliminates variability in data collection quality while maintaining high productivity
Solution Approach 2:
The system changes the parameters of data collection from manual analog measurements to automated digital data capture. By transforming the measurement process into electronic parameter acquisition through sensors and algorithms, the system achieves consistent, high-precision data collection that is independent of technician training levels, while maintaining the productivity benefits of automated operation
Data Source
AI summary
A method for diagnosing and treating sleep disorders with a sleep therapy auto-titrator for in-home use by the patient includes the step of collecting, recording and analyzing sleep data in real time with the auto-titrator. Corrective action is provided in real time to the patient to mitigate sleep events based upon the collected sleep data. The collected sleep data is transmitted, via a global computer information system, to a remote server for storage. The stored sleep data is analyzed by a computer programmed with an algorithm to monitor therapy effectiveness daily and for identifying one or more therapy intervention recommendations. An alert is provided to at least one of the patient or a sleep therapy professional associated with the patient communicating the one or more intervention recommendations.