Automatic Laboratory Instrument Calibration Using Historical Quality Control Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing solutions for calibrating laboratory instruments fail to utilize historical calibration data, leading to imperfect calibration, are time-consuming, require subject matter expertise, and result in laboratory downtime.
Innovation Solution
A system and method for laboratory instrument calibration that involves a processor retrieving past quality control parameters, calculating a calibration factor based on historical data, and updating the calibration factor for future use, thereby ensuring accurate and efficient calibration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual calibration methods are used, then calibration accuracy can be maintained through expert judgment, but the process becomes time-consuming and requires subject matter expertise
Solution Approach 1:
The calibration system performs automatic calibration using historical data stored in the data structure, eliminating the need for manual expert intervention. The processor automatically retrieves past quality control parameters, calculates calibration factors, and updates the instrument calibration without requiring subject matter expertise or manual time investment.
Solution Approach 2:
The system utilizes historical calibration data and quality control parameters stored in the data structure to continuously refine and improve calibration accuracy. By analyzing past performance data and comparing it against current measurements, the system automatically adjusts calibration factors to maintain or improve measurement precision over time.
2Reliability
If traditional calibration procedures are performed, then instrument calibration can be updated, but laboratory downtime increases during troubleshooting and recalibration
Solution Approach 1:
The system continuously stores and analyzes quality control parameters and historical calibration data in the data structure during normal operation. This preliminary data collection and analysis enables the system to perform rapid calibration adjustments when needed, minimizing downtime because the calibration calculations are based on pre-captured historical data rather than requiring new manual measurements and expert analysis.
Solution Approach 2:
The automatic calibration system performs recalibration independently without requiring manual troubleshooting or expert intervention. When calibration is needed, the processor automatically retrieves historical data, calculates new calibration factors, and updates the instrument, eliminating the productivity loss associated with manual calibration procedures and laboratory downtime.
3Measurement precision
If historical calibration data is not utilized, then calibration process remains simple, but calibration quality becomes imperfect
Solution Approach 1:
The system incorporates historical calibration data and quality control parameters into the calibration process through automated feedback loops. The processor retrieves past performance data from the data structure, compares it with current instrument readings, and automatically adjusts calibration factors to improve calibration quality. This data-driven approach enhances measurement precision while the automation maintains process simplicity.
Solution Approach 2:
The system replaces manual expert judgment with automated computational analysis of historical data. Instead of relying on subjective expert assessment, the processor objectively analyzes stored quality control parameters and calibration history to determine optimal calibration factors, improving calibration quality while maintaining process simplicity through automation.
Data Source
AI summary
Improved systems and methods for laboratory instrument calibration. A laboratory instrument retrieves a number of sets of past quality control parameters from a data structure. Each set includes a recovered value and a timestamp. The recovered value is equal to an output value adjusted by an initial calibration factor. The laboratory instrument determines that the number of sets is greater than a threshold and that each of the past quality control parameters has a timestamp that is within a time threshold. The laboratory instrument computes an updated calibration factor such that when the updated calibration factor is applied to a representative value of the recovered values, the representative value equals the expected recovered value. The instrument updates the data structure with the calibration factor such that the calibration factor is used in subsequent testing of patient specimens.