Literature DB >> 28390779

Total laboratory automation: Do stat tests still matter?

Alberto Dolci1, Davide Giavarina2, Sara Pasqualetti3, Dominika Szőke3, Mauro Panteghini4.   

Abstract

During the past decades the healthcare systems have rapidly changed and today hospital care is primarily advocated for critical patients and acute treatments, for which laboratory test results are crucial and need to be always reported in predictably short turnaround time (TAT). Laboratories in the hospital setting can face this challenge by changing their organization from a compartmentalized laboratory department toward a decision making-based laboratory department. This requires the implementation of a core laboratory, that exploits total laboratory automation (TLA) using technological innovation in analytical platforms, track systems and information technology, including middleware, and a number of satellite specialized laboratory sections cooperating with care teams for specific medical conditions. In this laboratory department model, the short TAT for all first-line tests performed by TLA in the core laboratory represents the key paradigm, where no more stat testing is required because all samples are handled in real-time and (auto)validated results dispatched in a time that fulfills clinical needs. To optimally reach this goal, laboratories should be actively involved in managing all the steps covering the total examination process, speeding up also extra-laboratory phases, such sample delivery. Furthermore, to warrant effectiveness and not only efficiency, all the processes, e.g. specimen integrity check, should be managed by middleware through a predefined set of rules defined in light of the clinical governance. Crown
Copyright © 2017. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Clinical governance; Core-lab; Stat testing; Total laboratory automation

Mesh:

Year:  2017        PMID: 28390779     DOI: 10.1016/j.clinbiochem.2017.04.002

Source DB:  PubMed          Journal:  Clin Biochem        ISSN: 0009-9120            Impact factor:   3.281


  8 in total

Review 1.  Errors within the total laboratory testing process, from test selection to medical decision-making - A review of causes, consequences, surveillance and solutions.

Authors:  Cornelia Mrazek; Giuseppe Lippi; Martin H Keppel; Thomas K Felder; Hannes Oberkofler; Elisabeth Haschke-Becher; Janne Cadamuro
Journal:  Biochem Med (Zagreb)       Date:  2020-06-15       Impact factor: 2.313

Review 2.  Triboelectric Effect Enabled Self-Powered, Point-of-Care Diagnostics: Opportunities for Developing ASSURED and REASSURED Devices.

Authors:  Navneet Soin; Sam J Fishlock; Colin Kelsey; Suzanne Smith
Journal:  Micromachines (Basel)       Date:  2021-03-22       Impact factor: 2.891

Review 3.  Total Laboratory Automation for Rapid Detection and Identification of Microorganisms and Their Antimicrobial Resistance Profiles.

Authors:  Abdessalam Cherkaoui; Jacques Schrenzel
Journal:  Front Cell Infect Microbiol       Date:  2022-02-03       Impact factor: 5.293

4.  Digital Morphology Analyzer Sysmex DI-60 vs. Manual Counting for White Blood Cell Differentials in Leukopenic Samples: A Comparative Assessment of Risk and Turnaround Time.

Authors:  Minjeong Nam; Sumi Yoon; Mina Hur; Gun Hyuk Lee; Hanah Kim; Mikyoung Park; Hyeong Nyeon Kim
Journal:  Ann Lab Med       Date:  2022-07-01       Impact factor: 4.941

5.  Clinical laboratory services for primary healthcare centers in urban cities: a pilot ACO model of ten primary healthcare centers.

Authors:  Soha A Tashkandi; Ali Alenezi; Ismail Bakhsh; Abdullah AlJuryyan; Zahir H AlShehry; Saeed AlRashdi; Maryjane Guzman; Marvin Pono; Franklin Lim; April Rose Tabudlong; Lamees Elwan; Musa Fagih; Ahmad Aboabat
Journal:  BMC Fam Pract       Date:  2021-05-27       Impact factor: 2.497

6.  Implementation of total laboratory automation at a tertiary care hospital in Saudi Arabia: effect on turnaround time and cost efficiency.

Authors:  Tracy Louise Ellison; Maha Alharbi; Morad Alkaf; Shamad Elimam; Mariam Alfaries; Randa Al Nounou; Rasheed Nasr; Tarek Owaidah
Journal:  Ann Saudi Med       Date:  2018 Sep-Oct       Impact factor: 1.526

7.  Switching from serum to plasma: Implementation of BD Vacutainer® Barricor™ Plasma Blood Collection Tubes improves sample quality and laboratory turnaround time.

Authors:  Christian Ramakers; Brendan Meyer; Wanfei Yang; Elizabeth Plokhoy; Yan Xiong; Stephen Church; Nitin Kaushik
Journal:  Pract Lab Med       Date:  2019-12-10

8.  Benefits of VISION Max automated cross-matching in comparison with manual cross-matching: A multidimensional analysis.

Authors:  Hee-Jung Chung; Mina Hur; Sang Gyeu Choi; Hyun-Kyung Lee; Seungho Lee; Hanah Kim; Hee-Won Moon; Yeo-Min Yun
Journal:  PLoS One       Date:  2019-12-23       Impact factor: 3.240

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.