Remote Analyte Testing System
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Solution Overview
Problem
Current remote testing methods lack real-time mitigation of uncertainties in test processes, including equipment integrity and user interpretation of results, particularly in remote medical testing, where chromatography is used to detect analytes.
Innovation Solution
A system comprising a device to capture data, a processing unit for analysis, and a data repository that includes contextual data such as temperature, humidity, and light exposure, which provides enhanced interpretation of test results and alerts for potential issues with the test medium, and allows for predictive analysis based on data patterns across multiple users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If remote testing is performed without centralized verification, then user convenience and accessibility are improved, but test reliability and result accuracy deteriorate
Solution Approach 1:
The system implements centralized feedback by transmitting test data to a remote server for verification. The server sends back verification results and quality feedback to the user device, ensuring test reliability while maintaining remote operation convenience. This feedback loop allows centralized quality control without requiring physical presence of medical professionals.
Solution Approach 2:
A remote server acts as an intermediary between the user device and the test medium. The server receives test data, performs centralized verification against quality standards, and mediates the validation process. This intermediary enables reliable remote testing by bridging the gap between decentralized test execution and centralized quality assurance.
2Device complexity
If environmental conditions are not monitored, then device complexity is reduced, but measurement precision deteriorates
Solution Approach 1:
The user device performs multiple functions: it serves as both the test execution device and the environmental condition monitoring device. By integrating environmental sensing capabilities into the existing user device, the system achieves precise environmental monitoring without adding separate dedicated devices, thus maintaining simplicity while improving measurement precision.
Solution Approach 2:
The system automatically monitors and transmits environmental conditions without requiring manual intervention. The device self-services by capturing environmental data, packaging it with test results, and transmitting everything to the remote server automatically. This eliminates the need for manual environmental recording while ensuring precise environmental context is available for result verification.
3Loss of time
If test data is not verified against quality standards, then processing time is reduced, but loss of information increases
Solution Approach 1:
Quality standards and verification criteria are pre-configured in the remote server before test data arrives. The server is prepared with reference ranges, quality thresholds, and validation rules. When test data is received, the pre-configured standards enable rapid automated verification without requiring time-consuming manual analysis, thus preventing information loss while minimizing processing time.
Data Source
AI summary
A system for remote analyte testing has a device adapted to capture data from a test of a subject and additional contextual data regarding the test, a processing unit configured to analyze the captured data, and a data repository adapted to store the analyzed data.