Medical Analyzer Control Ranges via Peer Group Analysis
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Solution Overview
Problem
Current quality control (QC) processes for medical analyzers are inefficient and time-consuming, particularly when establishing control ranges, which are often wide and unreliable when sourced from manufacturers, and require internal testing that takes valuable time and makes devices unavailable for use.
Innovation Solution
A computer-implemented method that determines peer control ranges for medical analyzer devices by processing measurement results from a set of predefined QC samples, discarding outliers, and using statistical functions to establish precise and narrow control ranges, allowing for centralized management and efficient resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If manufacturer control ranges are used, then the QC process is simple to implement, but the control ranges are wide and have questionable reliability
Solution Approach 1:
The system performs preliminary internal testing during the initialization phase to establish device-specific control ranges before the device enters routine operation. This preliminary action ensures that reliable, narrow control ranges are available from the start without affecting ongoing QC processes.
Solution Approach 2:
The medical analyzer automatically performs internal testing and establishes its own control ranges without requiring manual intervention from laboratory personnel. The device uses its own measurement results to determine peer control ranges, making the process self-service and eliminating the need for external QC range establishment procedures.
2Reliability
If internal testing is performed to establish control ranges, then more narrow and reliable control ranges are obtained, but the process is time consuming and makes the analyzer unavailable
Solution Approach 1:
The system performs preliminary internal testing during the initialization phase to establish device-specific control ranges before the device enters routine operation. This preliminary action ensures that reliable, narrow control ranges are available from the start without affecting ongoing QC processes.
Solution Approach 2:
A peer group of similar analyzers acts as an intermediary to provide reference measurement results. The system uses statistical functions on peer group data to determine peer control ranges, which then serve as the basis for establishing the device's own control ranges. This intermediary approach eliminates the need for time-consuming manual internal testing.
3Reliability
If internal testing is performed to establish control ranges, then more narrow and reliable control ranges are obtained, but the analyzer is made unavailable for use during that time
Solution Approach 1:
The system performs preliminary internal testing during the initialization phase to establish device-specific control ranges before the device enters routine operation. This preliminary action ensures that reliable, narrow control ranges are available from the start without affecting ongoing QC processes.
Solution Approach 2:
A peer group of similar analyzers acts as an intermediary to provide reference measurement results. The system uses statistical functions on peer group data to determine peer control ranges, which then serve as the basis for establishing the device's own control ranges. This intermediary approach eliminates the need for time-consuming manual internal testing.
Data Source
AI summary
A computer-implemented method performed by a central system for establishing control ranges for a plurality of remote medical analyzer devices is disclosed. The method comprises obtaining a plurality of measurement results associated with a plurality of quality control (QC) measurements performed by a plurality of medical analyzer devices on a set of predefined QC samples. Each QC sample is associated with a predefined target range and wherein each medical analyzer device is associated with a peer group of medical analyzer devices. The method further comprises determining, for each peer group out of a plurality of peer groups, a peer control range for each predefined QC sample by processing the plurality of measurement results of the peer group in view of the associated target range. Furthermore, the method comprises determining, for each medical analyzer device, a control range for each predefined QC sample based on the determined peer control range of the associated peer group. The method further comprises transmitting, to a device for managing at least one medical analyzer device, data indicative of the determined control ranges for the set of predefined QC samples for the at least one medical analyzer device.