The Research on strategies for improving laboratory turnover efficiency based on information tools under the challenge of surging sample size
Main Article Content
Keywords
Biochemistry, Automation, Laboratory turnaround time, PDCA
Abstract
Background: Continuously monitor monthly laboratory turnaround time (TAT) data, analyzing the reasons for the continuous increase in TAT, and applying PDCA (Plan-Do-Check- Act, and automation tools for improvement, to enhance laboratory efficiency, and provide more accurate and efficient support for clinical diagnosis and treatment.
Methods: Analyzing data from November 2022 to April 2023, identifying risk points in biochemical sample TAT, sought root causes, formulated targeted improvement plans, and continuously tracked changes before and after improvement. The analysis group consisted of data from November 2022 to April 2023, and the improvement group from May 2023 to August 2023.
Results: Despite the gradual increase in laboratory sample volumes, the overall and segmented TAT for biochemical projects decreased after improvements.
Conclusion: Continuous monitoring of quality indicators within the laboratory is essential. Using PDCA tools to identify causes and automation tools can significantly improve TAT results, effectively help identify risk points and root causes, and enhance testing efficiency. This approach can be attempted to analyze and improve other indicators.
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