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Chinese Journal of Clinical Laboratory Management(Electronic Edition) ›› 2015, Vol. 03 ›› Issue (02): 97-101. doi: 10.3877/cma.j.issn.2095-5820.2015.02.008

• Automation and Information System • Previous Articles     Next Articles

Construction strategy and optimization of automatic review system in clinical chemistry laboratory

Wenhai Jiang1, Jiong Wu2, Yiqing Yin1,(), Baishen Pan2   

  1. 1.Computer Network Center, Zhongshan Hospital Affiliated to Fudan University, Shanghai 200032, China
    2.Department of Laboratory,Zhongshan Hospital Affiliated to Fudan University, Shanghai 200032, China
  • Received:2015-05-20 Online:2015-05-28 Published:2024-11-29
  • Contact: Yiqing Yin

Abstract:

Objective

To establish a safe and effective Auto-validation system for meeting the requirements of clinical data validation in clinical chemistry laboratories.

Methods

The Clinical Laboratory of Zhongshan Hospital, affiliated to Fudan University used Roche′s middleware IT3000 and integrated a series of other software and hardware [such as Laboratory information system(LIS), analyzers, Data flow, quality control and sample flow monitoring] to create an auto-validation system. The trend in turnaround time(TAT) pass rate from 2012 to 2015, before and after the adoption of the auto-validation system, and the reduction of error rates were evaluated.

Results

An auto-validation system had been adopted since Jan. 2012, which comprises of LIS(developed and maintained by Zhongshan Hospital in 3 months), middleware, clinical analyzers and data validation staff members. The auto-validation and alert strategies includes six elements: test matching, instrument alarm,multiple results comparison, limit value management, quality control rules, and logical rules. Before using the autovalidation system, the TAT overtime rate in the first quarter of 2012 was 0.281% (238/84729), while that in the same quarter of 2013, 2014, and 2015 was 0.058% (73/126605), 0.051% (86/169403), and 0.056% (96/171821)respectively, which represented a decrease of 42%, 82%, and 80%. The confirmation rate of report cancellation in the first quarter of 2012 was 0.16% (135/84729), and dropped 57%, 81%, and 48% in 2013, 2014, and 2015 to 0.07% (87/126605),0.03% (51/169403),0.08% (142/171821).

Conclusion

The auto-validation system has highly sped up the result validation process and effectively reduced report error rate.

Key words: Automation, Laboratory information system

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