Literature DB >> 10794773

The role of total laboratory automation in a consolidated laboratory network.

R S Seaberg1, R O Stallone, B E Statland.   

Abstract

BACKGROUND: In an effort to reduce overall laboratory costs and improve overall laboratory efficiencies at all of its network hospitals, the North Shore-Long Island Health System recently established a Consolidated Laboratory Network with a Core Laboratory at its center.
METHODS: We established and implemented a centralized Core Laboratory designed around the Roche/Hitachi CLAS Total Laboratory Automation system to perform the general and esoteric laboratory testing throughout the system in a timely and cost-effective fashion. All remaining STAT testing will be performed within the Rapid Response Laboratories (RRLs) at each of the system's hospitals.
RESULTS: Results for this laboratory consolidation and implementation effort demonstrated a decrease in labor costs and improved turnaround time (TAT) at the core laboratory. Anticipated system savings are approximately $2.7 million. TATs averaged 1.3 h within the Core Laboratory and less than 30 min in the RRLs.
CONCLUSIONS: When properly implemented, automation systems can reduce overall laboratory expenses, enhance patient services, and address the overall concerns facing the laboratory today: job satisfaction, decreased length of stay, and safety. The financial savings realized are primarily a result of labor reductions.

Entities:  

Mesh:

Year:  2000        PMID: 10794773

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  7 in total

1.  The optimization of total laboratory automation by simulation of a pull-strategy.

Authors:  Taho Yang; Teng-Kuan Wang; Vincent C Li; Chia-Lo Su
Journal:  J Med Syst       Date:  2014-12-04       Impact factor: 4.460

2.  Automation and productivity in the clinical laboratory: experience of a tertiary healthcare facility.

Authors:  Chin Pin Yeo; Wai Yoong Ng
Journal:  Singapore Med J       Date:  2018-11       Impact factor: 1.858

3.  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

4.  Indirect determination of biochemistry reference intervals using outpatient data.

Authors:  Luisa Martinez-Sanchez; Christa M Cobbaert; Raymond Noordam; Nannette Brouwer; Albert Blanco-Grau; Yolanda Villena-Ortiz; Marc Thelen; Roser Ferrer-Costa; Ernesto Casis; Francisco Rodríguez-Frias; Wendy P J den Elzen
Journal:  PLoS One       Date:  2022-05-19       Impact factor: 3.752

5.  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

Review 6.  Mapping turnaround times (TAT) to a generic timeline: a systematic review of TAT definitions in clinical domains.

Authors:  Bernhard Breil; Fleur Fritz; Volker Thiemann; Martin Dugas
Journal:  BMC Med Inform Decis Mak       Date:  2011-05-24       Impact factor: 2.796

7.  Economic Evaluation of Total Laboratory Automation in the Clinical Laboratory of a Tertiary Care Hospital.

Authors:  KyungYi Kim; Sang-Guk Lee; Tae Hyun Kim; Sang Gyu Lee
Journal:  Ann Lab Med       Date:  2022-01-01       Impact factor: 3.464

  7 in total

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