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- W3030228081 abstract "ObjectiveTo analyze the factors affecting the turnaround time (TAT) in tumor marker detection, and to observe the effect of continuous improvement measures such as optimizing the detection process on shortening TAT.MethodsTAT related data of the pre-optimized tumor markers were collected by the Laboratory Information Management System (LIS). The reasons and key nodes for the extension of TAT were analyzed. A series of measures were taken, such as strengthening the training of all working staff, increasing detection frequency, and optimizing the test process. Before and after optimizing the process of tumor marker detection, the TAT times were compared.ResultsThe average qualified rate of TAT was 32.5% before optimizing the process; after the training of the staff and standardization of the progress, the TAT rate increased significantly to 66.1% (P<0.05) in November, 2017. The TAT rate increased to 73.4% when adding one more position to run the test at noon in December, 2017. By extending the working time on Sunday and processing tests on time, the TAT rate was significantly increased (28.6% vs. 61.3%, P<0.01). After optimizing the overnight specimen processing, the proportion of overnight specimens decreased significantly(12.8% vs. 6.2%, P<0.05). After a series of continuous improvement measures and workflow optimization, the TAT rate of tumor marker detection increased significantly (32.5 % vs. 77.9 %, P<0.05).ConclusionOptimizing process can effectively shorten the TAT of tumor marker detection, and meet the clinical diagnosis and treatment needs.Key words: Process optimization; Tumor marker detection; TAT" @default.
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- W3030228081 date "2019-07-01" @default.
- W3030228081 modified "2023-09-28" @default.
- W3030228081 title "Analysis and optimization of turnaround time for tumor marker detection" @default.
- W3030228081 doi "https://doi.org/10.3760/cma.j.issn.1007-1245.2019.13.032" @default.
- W3030228081 hasPublicationYear "2019" @default.
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