A quality control sensor method, system and device for use with biological/environmental rapid diagnostic test devices

Abstract

Quality control (QC) sensor methods, systems and devices are for use with biological / environmental rapid diagnostic test (RDT) devices and provide for automatic timers, reminders and RDT cassette images. Sensors are calibrated and optimized, and provide for quality control of the RDT devices. Image analysis identifies cassette and patient information, and evaluates the processing and conditions of the RDT devices, cassettes and RDTs. Results may be accessed and analyzed remotely from the RDT devices. RDT chain of custody and workflow, incubation and reading sequences are tracked. A QC score for each unique patient RDT is determined based on QC criteria.

Description

technical field [0001] The present invention generally relates to a quality control method, system and device, and more particularly relates to a quality control sensor method, system and device for biological / environmental rapid diagnostic test equipment. Background technique [0002] In the prior art, the application of rapid diagnostic test ("RDT", rapid diagnostic test) may be limited and / or restricted due to insufficient, deficient and / or lack of quality control ("QC", quality control). [0003] RDTs may be sensitive to and / or affected by temperature, pre-analysis steps, read errors, and / or storage issues. Several existing issues may be related to RDT, including the following issues, for example: [0004] Temperatures during transportation and / or storage may from time to time be higher than the RDT's temperature specification, and / or the user of the RDT may not notice and / or pay sufficient attention to this, which may result in one or more inaccuracies diagnosis resul...

AI Technical Summary

Problems solved by technology

Valuable and / or limited health resources may thus be wasted

[0014] While the use of malaria RDTs may have improved fever management, effectiveness may have been compromised by factors such as quality issues, human error, and / or differences in interpretation, some or all of which could reduce the accuracy of care and / or affect the quality of care

These factors can also be detrimental to the real-world accuracy of non-malarial RDTs

[0015] Surveillance of infectious diseases in developing countries suffers from inaccurate, incomplete and / or stale data, possibly due to the current labor-intensive and / or error-prone manual acquisition of diagnostic results and / or or records resulting in

This may impair program managers' ability to make timely and data-driven resource allocation decisions, resulting in inefficient use of existing resources

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