The construction and application value of intelligent laboratory medicine
10.3760/cma.j.cn114452-20240729-00411
- VernacularTitle:智慧检验医学实验室的构建与应用价值
- Author:
Miansheng WANG
1
;
Yanle WANG
;
Jianbo SUN
;
Qiaoyun DAN
;
Liang SHI
;
Yuanbin LU
Author Information
1. 中山大学附属第八医院（深圳福田）检验科，深圳518033
- Publication Type:Journal Article
- Keywords:
Artificial intelligence;
Turn-around time;
Laboratories;
Automation
- From:
Chinese Journal of Laboratory Medicine
2025;48(2):201-206
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the application value of intelligent laboratory construction in the laboratory.Methods:All samples sent to the Department of Clinical Laboratory from all the clinical departments at the Eighth Affiliated Hospital of Sun Yat-Sen University from January 2018 to June 2024 were collected. Full-process intelligentization building was achieved by the use of logistics transmission system, automatic sampling system, automatic quality control system, automatic audit system, intelligent monitoring system, critical value monitoring system, and intelligent DxlabReport operation management system, et al. The normal distribution data were analyzed by two independent samples t-test, and the skew distribution data were analyzed by Mann-Whitney U test. Results:After the implementation of the pneumatic logistics transmission system, the turn-around time (TAT) from sample transmission to receiving decreased significantly from 51.5 (37.7, 73.0) min to 18.1 (14.4, 31.0) min ( U=0, P<0.001). After adopting the automatic sampling system, the TAT from receiving to sampling decreased from 41.0 (38.0, 45.0) min to 10.0 (5.0, 11.0) min ( U=0, P<0.001). The introduction of automatic quality control advanced the median time for the first batch of samples entering the biochemical testing pipeline from 9∶03 to 8∶27 and increased the reporting rate within 3 hours from 27.71%±1.39% to 36.90%±2.30% ( t=3.423, P<0.001). The intelligent monitoring system enabled module positioning monitoring, sample turn-around time reminder, instrument load rate monitoring, remaining reagent monitoring, and patient-based real-time quality control, resulting in improved instrument running efficiency and result accuracy. Followed by the introduction of the automatic audit function, the overall pass rate was 28.19%(10 006/35 500), including 37.17% (7 738/20 818) for biochemical reports, 31.57% (1 251/3 963) for chemiluminescence reports, and 9.49% (1 017/10 719) for biochemical immunity reports. The laboratory TAT decreased from (207.3±6.0) min to (169.8±5.9) min ( t=4.426, P<0.001). After the implementation of the critical value monitoring system, the timely reporting rate reached 99.52% (99.32%, 99.89%). After using quality digital management, outpatient biochemical immunity process was optimized to a decrease in laboratory TAT from 222 (201, 233) min to 145 (119, 195) min ( U=0, P=0.004), while the pass rate increased from 86.88% (85.91%, 87.81%) to 96.32% (95.86%, 96.96%) ( U=0, P=0.004). Conclusion:The establishment of an intelligent laboratory can optimize workflow, significantly improve the work efficiency and accuracy of sample processing, and minimize error.
