Literature DB >> 26311059

Development and Implementation of Autoverification Rules for ELISA Results of HBV Serological Markers.

Jiancheng Li1, Bizhen Cheng1, Li Yang2, Ying Zhao1, Meichen Pan1, Gaozhe Zheng1, Xiaoyan Xu1, Jing Hu1, Tongtong Xiao1, Yingmu Cai3.   

Abstract

Autoverification is a process of using computer-based rules to verify clinical laboratory test results without manual review. But to date, there are few published articles on the use of autoverification over the course of years in a clinical laboratory. In our study, we firstly described the development and implementation of autoverification rules for enzyme-linked immunosorbent assay (ELISA) results of hepatitis B virus (HBV) serological markers in a clinical immunology laboratory. We designed the autoverification rules for HBV by using Boolean logic on five clinically used serological markers in accordance with the framework of AUTO-10A, issued by the American Clinical Laboratory Standards Institute in 2006. The rules were written into the laboratory information system (LIS) and installed in the computer, so we could use the LIS to screen the test results. If the results passed the autoverification rules, they could be sent to doctors immediately. To evaluate the autoverification rules, we applied the real-time data of 11,585 patients with the autoverification rules. The autoverification rate of the five HBV serological markers was 79.5%. Furthermore, the turnaround time (TAT) was reduced by 38% (78 minutes vs. 126 minutes). The error rate was nearly eliminated. These results show that using LIS with autoverification rules can shorten TAT, enhance efficiency, and reduce manual review errors.
© 2015 Society for Laboratory Automation and Screening.

Entities:  

Keywords:  autoverification; delta check; hepatitis B serological marker; laboratory information system; turnaround time

Mesh:

Substances:

Year:  2015        PMID: 26311059     DOI: 10.1177/2211068215601612

Source DB:  PubMed          Journal:  J Lab Autom        ISSN: 2211-0682


  4 in total

1.  Development and Implementation of a Coagulation Factor Testing Method Utilizing Autoverification in a High-volume Clinical Reference Laboratory Environment.

Authors:  Paul W Riley; Benoit Gallea; Andre Valcour
Journal:  J Pathol Inform       Date:  2017-06-19

2.  Design and evaluation of a LIS-based autoverification system for coagulation assays in a core clinical laboratory.

Authors:  Zhongqing Wang; Cheng Peng; Hui Kang; Xia Fan; Runqing Mu; Liping Zhou; Miao He; Bo Qu
Journal:  BMC Med Inform Decis Mak       Date:  2019-07-03       Impact factor: 2.796

3.  Combined strategy of knowledge-based rule selection and historical data percentile-based range determination to improve an autoverification system for clinical chemistry test results.

Authors:  Jing Zhu; Hao Wang; Beili Wang; Xiaoke Hao; Wei Cui; Yong Duan; Yi Zhang; Liang Ming; Yingchun Zhou; Haitao Ding; Hongling Ou; Weiwei Lin; Liu Lu; Yuanjiang Shang; Yong Yang; Xianming Liang; Jiangtao Ma; Wenhua Sun; Te Chen; Guang Han; Meng Han; Weiting Yu; Baishen Pan; Wei Guo
Journal:  J Clin Lab Anal       Date:  2022-01-10       Impact factor: 2.352

4.  Molecular Aggregation in Immune System Activation Studied by Dynamic Light Scattering.

Authors:  Elena Velichko; Sergey Makarov; Elina Nepomnyashchaya; Ge Dong
Journal:  Biology (Basel)       Date:  2020-06-12
  4 in total

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