Respiratory Therapy Consent Management for Data Completeness
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Solution Overview
Problem
Individuals with sleep-related and respiratory disorders often do not initially consent to providing extensive data for monitoring their health, necessitating a method to efficiently obtain informed consent for additional data analysis.
Innovation Solution
A system that receives initial data during a sleep session, determines relevant parameters, identifies the need for additional data, requests consent from the user, and upon consent, receives and analyzes this data to improve parameter determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the system requests extensive data collection for health monitoring, then the quality and completeness of health analysis is improved, but user consent is reduced
Solution Approach 1:
The patent segments data collection into multiple stages: initial minimal data collection during sleep sessions, then progressive requests for additional data types based on demonstrated need and user benefit. This allows the system to maintain data completeness while respecting user consent boundaries by only requesting additional data when and if needed.
Solution Approach 2:
The system performs preliminary data analysis with available information to identify specific health concerns or trends, then uses these findings to justify and support requests for additional data collection. This preliminary action demonstrates value to the user, making subsequent consent requests more acceptable.
2Measurement precision
If the system analyzes more data types, then the precision of parameter determination is improved, but the complexity of data management increases
Solution Approach 1:
The patent creates a universal consent management framework that handles multiple data types (audio, video, physiological sensors, environmental sensors) through a single standardized process. The consent mechanism, data storage structure, and analysis framework are designed to accommodate various data types without requiring separate management systems for each, thereby reducing overall complexity while enabling precise multi-parameter analysis.
3Reliability
If the system requests consent frequently, then the quality of informed consent is improved, but the time required for data collection increases
Solution Approach 1:
The system implements periodic consent requests at strategically determined intervals based on sleep session duration, data type categories, and user response patterns. Rather than continuous or overly frequent requests, the system asks for consent at natural breakpoints in the data collection process, maintaining informed consent quality while minimizing time loss.
Data Source
AI summary
A method of analyzing data related to use of a respiratory therapy system by a user comprises receiving a first type of data, determining a first value of a first parameter based at least in part on the first type of data, identifying a desired second type of data, transmitting a request for consent to receive the second type of data, and determining, based at least in part on the second type of data, a second value of the first parameter, a value of a second parameter, or both. The first type of data and the first parameter are related to the user's use of the respiratory therapy system. The identification of the second type of data is based at least in part on the first type of data, the first value of the first parameter, an accuracy of the first value of the first parameter, or any combination thereof.