Blood Analyzer Calibration Data Visualization
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Solution Overview
Problem
Existing automated blood analyzers face challenges in consistently and reproducibly displaying and assessing performance data from control samples and calibrators across multiple systems, leading to inconsistencies and variability in analysis results.
Innovation Solution
The system and method for displaying performance measurement data from blood analyzers include a graphical user interface that plots measured values of complete blood count parameters over time, allowing technicians to visualize trends, drift, and variability by scaling data based on mean and standard deviation, enabling comparison of multiple lots and instruments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple systems and lots of control samples are analyzed, then the quantity of performance data increases, but the complexity of displaying and assessing the data increases
Solution Approach 1:
The system segments performance data by control sample lots and analyzes them separately using lot-specific mean and standard deviation values. This segmentation allows each lot to be evaluated independently, making the assessment of large quantities of data more manageable and less complex
Solution Approach 2:
The system transforms the display of performance data by adding a temporal dimension through graphical plots that show measured values over time. This dimensional transformation enables technicians to visualize trends and patterns more easily, reducing the cognitive complexity of assessing large datasets
2Reliability
If performance data from multiple lots are displayed together, then the ability to compare and assess instrument performance improves, but the difficulty of visualizing and interpreting the data increases
Solution Approach 1:
The system applies local quality by using lot-specific statistical parameters (mean and standard deviation for each lot) to normalize and scale the display of measured values. This allows each lot to be evaluated with its own characteristics, improving comparability while maintaining appropriate context for interpretation
Solution Approach 2:
The system uses visual differentiation in graphical displays to represent different lots and their performance characteristics. By visually distinguishing between lots through graphical representation, the system enhances the ability to compare performance across lots while maintaining ease of interpretation
Data Source
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AI summary
Systems and methods for displaying measured values of a complete blood count ("CBC") parameter include displaying the measured values of the CBC parameter obtained from a plurality of samples from a first lot of a quality control composition, where the displaying includes displaying a marker corresponding to each measured value from the first lot on a plot that includes a two dimensional coordinate system, and where the two dimensional coordinate system includes a first dimension corresponding to a time at which measured values of the CBC parameter were obtained, and a second dimension corresponding to a numerical value of the CBC parameter.