Reagent Distribution for Clinical Analyzer Throughput
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Solution Overview
Problem
Inefficient allocation of reagents and tests in clinical analyzers leads to incompatibilities, resulting in reduced throughput and increased turnaround times due to chemical and resource allocation conflicts, causing wasted operational cycles and inaccurate test results.
Innovation Solution
The system optimizes reagent and test allocation by distributing tests across multiple analyzers, using processors to identify incompatible tests and segregate them, and automatically or manually distributing reagents to minimize conflicts, allowing simultaneous operation of tests on different analyzers with compatible resource allocation and chemical profiles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If tests are scheduled to begin each operation cycle without resource competition, then analyzer throughput is maximized, but test incompatibility and resource conflicts increase
Solution Approach 1:
The system segments tests into compatibility groups based on reagent and resource requirements. Tests are divided into groups that can be run together without conflicts, allowing the analyzer to process multiple compatible tests simultaneously while maintaining reliability within each group.
Solution Approach 2:
The scheduling system dynamically adjusts test allocation based on real-time analyzer state, resource availability, and test compatibility requirements. The system flexibly modifies the operation schedule to optimize throughput while preventing incompatible tests from being scheduled together, adapting to changing conditions rather than using fixed schedules.
2Reliability
If tests are delayed to avoid resource competition, then resource allocation conflicts are reduced, but turnaround time increases
Solution Approach 1:
The system performs preliminary analysis of test compatibility and resource requirements before scheduling. By pre-identifying incompatible test combinations and allocating resources in advance, the system avoids last-minute delays and conflicts, enabling continuous operation without sacrificing reliability.
3Measurement precision
If additional wash cycles are performed to prevent reagent contamination, then test accuracy is maintained, but operational cycles are wasted and throughput decreases
Solution Approach 1:
The system extracts and separates incompatible tests into different scheduling groups, preventing reagent contamination issues before they occur. By removing incompatible test combinations from the schedule entirely, the system eliminates the need for additional wash cycles while maintaining test accuracy through proactive compatibility management.
4Manufacturing precision
If skipped machine cycles are used to ensure proper test sequencing, then test calibration accuracy is maintained, but overall throughput is reduced
Solution Approach 1:
The system maintains continuous useful action by scheduling compatible tests back-to-back without idle cycles. By ensuring that every machine cycle performs a valid, calibration-compliant test, the system eliminates skipped cycles while preserving accuracy through careful compatibility-based scheduling.
Data Source
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AI summary
Methods and systems for performing tests in an in vitro diagnostic environment provide for a substantially optimized distribution of testing reagents amongst a plurality of analyzers. The system and method can include steps of identifying a plurality of expected tests to be performed by a plurality of analyzer modules, determining information about the capabilities of the plurality of analyzer modules, and receiving, at the processor, data reflecting which of the plurality of tests are incompatible. Further steps can include calculating a substantially optimal distribution of the plurality of expected tests amongst the plurality of analyzer modules, allocating reagents to each of the plurality of analyzer modules by facilitating distribution of a plurality of reagents to selected analyzer modules in response to the step of calculating, and automatically scheduling a plurality of samples to undergo tests at the plurality of analyzer modules.