Literature DB >> 25882188

Total Automation for the Core Laboratory: Improving the Turnaround Time Helps to Reduce the Volume of Ordered STAT Tests.

Cristiano Ialongo1, Ottavia Porzio2, Ilio Giambini3, Sergio Bernardini4.   

Abstract

The transition to total automation represents the greatest leap for a clinical laboratory, characterized by a totally new philosophy of process management. We have investigated the impact of total automation on core laboratory efficiency and its effects on the clinical services related to STAT tests. For this purpose, a 47-month retrospective study based on the analysis of 44,212 records of STAT cardiac troponin I (CTNI) tests was performed. The core laboratory reached a new efficiency level 3 months after the implementation of total automation. Median turnaround time (TAT) was reduced by 14.9±1.5 min for the emergency department (p < 0.01), reaching 41.6±1.2 min. In non-emergency departments, median TAT was reduced by 19.8±2.2 min (p < 0.01), reaching 52±1.3 min. There was no change in the volume of ordered STAT CTNI tests by the emergency department (p = 0.811), whereas for non-emergency departments there was a reduction of 115.7±50 monthly requests on average (p = 0.026). The volume of ordered tests decreased only in time frames of the regular shift following the morning round. Thus, total automation significantly improves the core laboratory efficiency in terms of TAT. As a consequence, the volume of STAT tests ordered by hospital departments (except for the emergency department) decreased due to reduced duplicated requests.
© 2015 Society for Laboratory Automation and Screening.

Entities:  

Keywords:  STAT; cardiac troponin I; core laboratory; total laboratory automation; turnaround time

Mesh:

Substances:

Year:  2015        PMID: 25882188     DOI: 10.1177/2211068215581488

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


  8 in total

1.  Experimental fusion of different versions of the total laboratory automation system and improvement of laboratory turnaround time.

Authors:  Hee-Jung Chung; Yoon Kyung Song; Sang-Hyun Hwang; Do Hoon Lee; Tetsuro Sugiura
Journal:  J Clin Lab Anal       Date:  2018-02-25       Impact factor: 2.352

2.  Workflow Mapping-A Q-Probes Study of Preanalytic Testing Processes: A College of American Pathologists Q-Probes Study of 35 Clinical Laboratories.

Authors:  Peter Perrotta; David A Novis; Suzanne Nelson; Barbara Blond; Anna Stankovic; Michael Talbert
Journal:  Arch Pathol Lab Med       Date:  2020-12-01       Impact factor: 5.534

3.  The Impact of Total Automaton on the Clinical Laboratory Workforce: A Case Study.

Authors:  Yaser A Al Naam; Salah Elsafi; Majed H Al Jahdali; Randa S Al Shaman; Bader H Al-Qurouni; Eidan M Al Zahrani
Journal:  J Healthc Leadersh       Date:  2022-05-09

4.  Timeliness “at a glance”: assessing the turnaround time through the six sigma metrics.

Authors:  Cristiano Ialongo; Sergio Bernardini
Journal:  Biochem Med (Zagreb)       Date:  2016       Impact factor: 2.313

5.  Clinical Laboratory Automation: A Case Study.

Authors:  Claudia Archetti; Alessandro Montanelli; Dario Finazzi; Luigi Caimi; Emirena Garrafa
Journal:  J Public Health Res       Date:  2017-06-16

Review 6.  Turnaround Time: An Efficacy Measure for Medical Laboratories.

Authors:  Pratibha P Dawande; Rashmi S Wankhade; Faizan I Akhtar; Obaid Noman
Journal:  Cureus       Date:  2022-09-06

Review 7.  Confidence interval of percentiles in skewed distribution: The importance of the actual coverage probability in practical quality applications for laboratory medicine.

Authors:  Cristiano Ialongo
Journal:  Biochem Med (Zagreb)       Date:  2019-10-15       Impact factor: 2.313

Review 8.  Six Sigma revisited: We need evidence to include a 1.5 SD shift in the extraanalytical phase of the total testing process.

Authors:  Abdurrahman Coskun; Cristiano Ialongo
Journal:  Biochem Med (Zagreb)       Date:  2020-02-15       Impact factor: 2.313

  8 in total

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