Automated Analyzer Control Material Sampling Logic
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Solution Overview
Problem
The existing methods for operating control materials in laboratory settings are not suitable for fully automatic operations, leading to inefficiencies such as unnecessary reagent and consumable waste, as the timing of control material measurements varies and requires highly trained operators to determine measurement requirements and handle abnormalities.
Innovation Solution
A fully automated system with a dispensing unit, holding unit, processing unit, analytical unit, data analysis unit, database, input unit, and control unit that automates the operation of control materials, allowing for preliminary setting of operation processes to prioritize and manage control material measurements, specimen sampling, and reporting, thereby minimizing waste and ensuring quality control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If control material measurements are performed manually with varying timing based on operator judgment, then flexibility in operation is maintained, but automation compatibility is reduced and human error increases
Solution Approach 1:
The system automatically determines when control material measurements are needed and executes them without human intervention. The automated analyzer independently monitors test results, identifies when control measurements are required based on predetermined criteria, and performs the measurements automatically, making the system self-sufficient in quality control operations.
Solution Approach 2:
The system pre-establishes criteria and rules for when control material measurements should be performed. These predetermined conditions are set in advance, allowing the automated system to automatically determine measurement timing without requiring operator judgment, thus enabling full automation while maintaining quality standards.
2Reliability
If control material measurements are performed at the beginning of the day for all assay items, then quality control is established early, but reagents and consumables are wasted if measurements are stopped before completion
Solution Approach 1:
The system dynamically adjusts the timing and execution of control material measurements based on real-time test results and predetermined criteria. Rather than rigidly performing all control measurements at a fixed time, the system adapts its operation, performing control measurements only when necessary based on actual test outcomes, thereby preventing waste of reagents and consumables.
Solution Approach 2:
The system changes operational parameters (timing of control measurements) based on test results and predetermined conditions. When test results indicate quality is maintained, the system adjusts to skip unnecessary control measurements, thereby reducing reagent and consumable usage while maintaining quality standards.
3Measurement precision
If control material measurements are continuously performed to detect abnormalities, then measurement precision is improved, but reagent and consumable consumption increases
Solution Approach 1:
The system performs control material measurements partially rather than continuously, executing them only when predetermined criteria are met. This partial action approach maintains sufficient abnormality detection capability while avoiding excessive control measurements that would waste reagents and consumables.
Solution Approach 2:
The system uses feedback from test results to determine when control material measurements are needed. By continuously monitoring test outcomes and comparing them against predetermined criteria, the system intelligently triggers control measurements only when necessary, balancing detection precision with resource conservation.
4Measurement precision
If highly trained operators determine measurement requirements and handle abnormalities, then measurement precision and quality control are maintained, but device complexity and operational difficulty increase
Solution Approach 1:
The system automatically performs quality control functions that previously required highly trained operators. By embedding quality control logic and predetermined criteria within the automated analyzer, the system maintains measurement precision and quality control accuracy while eliminating the need for specialized operator knowledge and reducing operational complexity.
Solution Approach 2:
The system pre-programmes quality control rules, criteria, and decision logic into its operation. This preliminary configuration allows the automated system to independently determine when control measurements are needed and how to handle abnormalities, maintaining quality standards without requiring highly trained operators to make these decisions.
Data Source
AI summary
An automatic analyzer including a function for operating control materials and its operation method are provided. The analyzer is configured to start sampling by giving priority to an entirety of control materials corresponding to all assay items required for measurement. The analyzer is also configured to automatically start sampling of a patient specimen based on a preliminarily set sampling timing after completion of sampling of the entirety of control materials. The analyzer is also configured to stop, when an abnormality is present in a measurement result of at least any one of control materials in the group of control materials, sampling of a patient specimen corresponding to a control material in which the abnormality is found, and notify a tester of the abnormality.