ArticlePractical laboratory medicine2025
Analytical performance evaluation of intelligent quality management of blood gas analyzer.
Article in Practical laboratory medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
8 authors.
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Abstract
Objective: This study aimed to compare the application effectiveness and quality control (QC) performance of intelligent quality management for blood gas analysis (BGA) with those of traditional quality management. Methods: We implemented intelligent quality management by employing the GEM Premier 5000 equipped with Intelligent Quality Management 2 (iQM 2). By collecting external quality assessment (EQA) and internal quality control (IQC) data, we compared the clinical application outcomes and quality control (QC) performance between the intelligent management and traditional management approaches. Results: The average bias of EQA for pH, partial carbon dioxide pressure (pCO Conclusions: The precision and accuracy of the BGA improved significantly compared to those before management, indicating significant advantages of intelligent quality management in quality management applications.
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