Development and Implementation of Autoverification Rules for ELISA Results of HBV Serological Markers. (October 2016)

• Record Type: Journal Article
• Authors: Li, Jiancheng; Cheng, Bizhen; Yang, Li; Zhao, Ying; Pan, Meichen; Zheng, Gaozhe; Xu, Xiaoyan; Hu, Jing; Xiao, Tongtong; Cai, Yingmu
• Is Part Of: Journal of laboratory automation. Volume 21:Number 5(2016:Oct.)
• Page Start: 642
• Page End: 651
• Publication Date: 2016-10
• Subjects: autoverification -- hepatitis B serological marker -- laboratory information system -- delta check -- turnaround time; Medical laboratory technology -- Periodicals; Laboratories -- Equipment and supplies -- Periodicals; Diagnosis, Laboratory -- Periodicals; 616.075
• DOI: 10.1177/2211068215601612
• Languages: English
• ISSNs: 2211-0682

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.