Literature DB >> 25998268

Autovalidation rates in an outpatient coagulation laboratory.

P Froom1, E Saffuri-Elias1, M Barak1.   

Abstract

INTRODUCTION: To determine the rates of autovalidation in our outpatient coagulation laboratory.
METHODS: We retrospectively identified all coagulation tests analyzed during the month of January 2014 from our laboratory information system (LIS) (N = 16 116), from around 800 000 active members of Clalit Health Services (a health maintenance organization). The integrated system includes a single centrifugation of all collection tubes, analyzers that rerun or reflex tests according to the test results, and a laboratory information system that sends orders to the analyzer, autovalidates test results, and automatically sends critical value results to a list for immediate physician communication. Reasons for technician validation are tests rerun for confirmation or because of analyzer errors and test results that require reflex testing. All other test results are sent automatically to the laboratory information system without the need for technician review.
RESULTS: There were 362 test results with analyzer errors, 91 results rerun for confirmation (thrombophilia test results outside the reference interval), and 50 tests with mixing studies and reflex testing for factor XI activity levels (total = 3.1%, 503/16116), resulting in an autovalidation rate of 96.9% (95% confidence interval - 96.6-97.2%).
CONCLUSIONS: We conclude that an integrated system can result in a high autovalidation rate in a high-volume outpatient coagulation laboratory.
© 2015 John Wiley & Sons Ltd.

Entities:  

Keywords:  Blood coagulation; clinical laboratory technicians; operations research; work flow

Mesh:

Year:  2015        PMID: 25998268     DOI: 10.1111/ijlh.12386

Source DB:  PubMed          Journal:  Int J Lab Hematol        ISSN: 1751-5521            Impact factor:   2.877


  3 in total

1.  Designing and validating an autoverification system of biochemical test results in Hatay Mustafa Kemal University, clinical laboratory.

Authors:  Bahar Ünlü Gül; Oğuzhan Özcan; Serdar Doğan; Abdullah Arpaci
Journal:  Biochem Med (Zagreb)       Date:  2022-08-05       Impact factor: 2.515

2.  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

3.  General position of Croatian medical biochemistry laboratories on autovalidation: survey of the Working Group for Post-analytics of the Croatian Society of Medical Biochemistry and Laboratory Medicine.

Authors:  Vladimira Rimac; Anja Jokic; Sonja Podolar; Jelena Vlasic Tanaskovic; Lorena Honovic; Jasna Lenicek Krleza
Journal:  Biochem Med (Zagreb)       Date:  2020-04-15       Impact factor: 2.313

  3 in total

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