Literature DB >> 24600989

Building and evaluating the autoverification of coagulation items in the laboratory information system.

Ying Zhao1, Li Yang1, Gaozhe Zheng1, Yingmu Cai1.   

Abstract

BACKGROUND: The increasing number of specimens, the decreasing number of proficient staff, and clinical demands make autoverification important in the laboratory's future development. However, although autoverification has been widely applied, a full coverage of its technique is hard to achieve in a laboratory. The establishment of the autoverification rules and parameters is still unclear. Therefore, the aim of this study was to fill the vacancy by the method described below.
METHODS: First, all logic processes and autoverification rules were established with reference to the Clinical and Laboratory Standards Institute (CLSI) document Auto10-A-Autoverification of Clinical Laboratory Test Results-Approved Guideline. Second, we established rules in the LIS, collected clinical specimens for validation, and assessed the results in a "live" environment.
RESULTS: The whole passing rate of autoverification was 82.0% and the manual intervention rate was 18.0%. The highest passing rate of a single project was activated partial thromboplastin time (APTT), approximately 96.1%, followed by prothrombin time (PT), approximately 95.1%, and fibrinogen, approximately 90.9%. The turnaround time (TAT) was shortened by 31.8% (90 minutes vs. 132 minutes).
CONCLUSIONS: Through implementing the autoverification, which accelerated verification and decreased the TAT and the odds of human review errors in the released results, we can save more time and concentrate on verifying the abnormal results and proceeding emergency tests.

Entities:  

Mesh:

Year:  2014        PMID: 24600989     DOI: 10.7754/clin.lab.2013.130109

Source DB:  PubMed          Journal:  Clin Lab        ISSN: 1433-6510            Impact factor:   1.138


  5 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.  Impact of reference change value (RCV) based autoverification on turnaround time and physician satisfaction.

Authors:  Esther Fernández-Grande; Carolina Valera-Rodriguez; Luis Sáenz-Mateos; Amparo Sastre-Gómez; Pilar García-Chico; Teodoro J Palomino-Muñoz
Journal:  Biochem Med (Zagreb)       Date:  2017-06-15       Impact factor: 2.313

3.  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

4.  Chronometric vs. Structural Hypercoagulability.

Authors:  Carmen Delianu; Mihaela Moscalu; Loredana Liliana Hurjui; Claudia Cristina Tărniceriu; Oana-Viola Bădulescu; Ludmila Lozneanu; Ion Hurjui; Ancuta Goriuc; Zinovia Surlari; Liliana Foia
Journal:  Medicina (Kaunas)       Date:  2020-12-28       Impact factor: 2.430

5.  Customized middleware experience in a tertiary care hospital hematology laboratory.

Authors:  Kristine Roland; Jim Yakimec; Todd Markin; Geoffrey Chan; Monika Hudoba
Journal:  J Pathol Inform       Date:  2022-09-24
  5 in total

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