Image-Based Sample Collection Device Validation for Adequate Blood Volume
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Solution Overview
Problem
Users receiving 'Quality Not Sufficient' test results due to insufficient blood samples in at-home test kits, leading to additional delays and resource wastage at processing facilities.
Innovation Solution
An electronic device with a camera and image analysis algorithms validates the sample collection device by capturing and analyzing images to ensure a sufficient amount of fluid is present, providing real-time feedback and optional additional sample collection if necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users manually collect and send samples without validation, then the process is simple, but insufficient samples cause test failures and delays
Solution Approach 1:
The system performs preliminary validation of the sample collection device by capturing an image, analyzing fluid presence, and verifying sample adequacy before the sample is sent to the processing facility. This preliminary action prevents insufficient samples from reaching the lab, resolving the contradiction by ensuring reliability through advance verification without requiring complex validation equipment at the collection point.
Solution Approach 2:
The system provides feedback to the user about sample adequacy by analyzing the captured image and determining whether sufficient fluid is present. This feedback loop allows users to correct insufficient sampling immediately, improving sample quality reliability while keeping the validation process simple and intuitive.
2Loss of time
If users receive test results after processing, then complete testing is achieved, but insufficient samples cause additional delays and resource waste
Solution Approach 1:
By performing sample validation before submission to the processing facility, the system prevents insufficient samples from entering the workflow. This eliminates reprocessing needs and associated delays, directly reducing time to valid results and maintaining processing efficiency by ensuring only adequate samples are analyzed.
Solution Approach 2:
The system converts the potential harm of insufficient samples (test failures, delays, resource waste) into a benefit by using image analysis to detect and alert users about inadequate sampling before submission. This transforms what would be a problematic situation into an opportunity for immediate correction, improving both time efficiency and processing productivity.
3Reliability
If additional test kits are provided to users, then sufficient samples can be obtained, but users wait additional time for results
Solution Approach 1:
The system performs preliminary validation using the first test kit's sample collection device before the user sends it off. By detecting insufficient samples early and providing feedback, users can correct the issue with the same kit rather than waiting for a second kit to arrive, eliminating the time delay associated with receiving and using additional test kits while ensuring sample adequacy.
Data Source
AI summary
An image of a sample collection device is captured. The image of the sample collection device is analyzed to determine whether the sample collection device includes a sufficient amount of fluid sample. The image of the sample collection device is validated based on a result of the image analysis.