Feature Detection Algorithm for Non-Human Readable Diagnostic Tests
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Solution Overview
Problem
Remote or at-home health testing and diagnostics face challenges in ensuring test integrity, including proper user administration, test validity, continuity, and result verification, especially in the absence of medical professionals.
Innovation Solution
A computer-implemented method using a feature detection algorithm to verify the presence of a medical diagnostic component, such as a test strip, through image analysis at multiple points during the testing process, ensuring compliance with the testing procedure and maintaining test integrity by comparing features across images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If remote or at-home health testing is implemented, then patient convenience and accessibility are improved, but test integrity and reliability deteriorate due to lack of medical professional supervision
Solution Approach 1:
The system implements automated feedback mechanisms through image capture and analysis. The imaging device captures images of the test device at multiple stages, and the processing system automatically analyzes these images to verify test integrity. This closed-loop feedback system ensures proper test administration without requiring medical professional supervision, thus maintaining reliability while preserving patient convenience.
Solution Approach 2:
The patent replaces manual verification by medical professionals with an automated imaging and image processing system. The mechanical/physical presence of healthcare workers is substituted by electronic imaging devices and computational algorithms that automatically detect and verify test components, eliminating the need for in-person supervision while maintaining test integrity.
2Reliability
If automated image analysis is used to verify test components, then test integrity is improved, but device complexity increases
Solution Approach 1:
The system uses optical copies (images) of the physical test device to verify its presence and integrity. Instead of complex physical verification mechanisms, the system captures digital images of the test device and analyzes them computationally. This copying approach simplifies the physical system while maintaining verification capability, as the image serves as a faithful representation of the actual test components.
Data Source
AI summary
Systems and methods for ensuring medical diagnostic test integrity are disclosed. In particular, systems and methods herein can be used to ensure compliance with testing procedures. Some embodiments provide systems and methods for verifying test results. According to some embodiments, test results can be non-human-readable results that can be interpreted by a computing system.