Automatic Analyzer Consumable Lot Tracking for Abnormality Diagnosis
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Solution Overview
Problem
Conventional automatic analyzers lack the capability to quickly identify and address abnormalities in analysis results caused by deteriorated consumables, such as tubes and nozzles, which can lead to inaccurate measurements, requiring significant time to determine the cause of the issue.
Innovation Solution
The automatic analyzer includes a storage unit for consumable identification information and a display unit to associate measurement results with consumable lot numbers, allowing for swift identification of abnormal consumables and displaying this information in a list, enabling users to recognize relationships between consumables and measurement results. This system can be expanded to connect multiple analyzers through a data service center for centralized management and warning of potentially faulty consumables.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional automatic analyzers do not track consumable lot numbers, then the device complexity is reduced and ease of operation is improved, but the ability to quickly identify causes of abnormal measurement results deteriorates
Solution Approach 1:
The system performs preliminary action by automatically recording and storing consumable lot number information before abnormality occurs. The storage unit continuously stores identification information of consumables (lot numbers, expiration dates) associated with measurement results, enabling rapid retrospective identification of problematic consumables when abnormalities are detected, thus resolving the time loss issue without complicating daily operation
2Reliability
If consumable identification information is stored and associated with measurement results, then the ability to identify causes of abnormality is improved, but the device complexity increases
Solution Approach 1:
The storage unit performs multi-functionality by handling both consumable identification information (lot numbers, expiration dates) and measurement result data association. This universal approach allows the same storage component to manage diverse data types without requiring separate specialized systems, thereby improving reliability for abnormality identification while minimizing the increase in overall device complexity
3Measurement precision
If consumables are tracked with identification information, then measurement precision and reliability are improved, but the ease of operation deteriorates due to additional tracking requirements
Solution Approach 1:
The system implements self-service by automatically capturing and storing consumable identification information without requiring manual user intervention. The analyzer autonomously associates lot numbers with measurement results, ensuring measurement precision and reliability while maintaining ease of operation, as users simply need to place consumables in the analyzer without additional tracking or documentation steps
Data Source
AI summary
An automatic analyzer and an automatic analyzing system to identify samples and reagents used in the analyzer and members used in measurement of at least two objects in common: system reagents or buffer solution; sensor parts; probes; nozzles; chips; dispensing cups; tubes; ISE electrodes; detectors; deionized water; and waste, and to unify management of identification information thereof and a measurement result.