scholarly journals Experimental fusion of different versions of the total laboratory automation system and improvement of laboratory turnaround time

2018 ◽  
Vol 32 (5) ◽  
pp. e22400 ◽  
Author(s):  
Hee-Jung Chung ◽  
Yoon Kyung Song ◽  
Sang-Hyun Hwang ◽  
Do Hoon Lee ◽  
Tetsuro Sugiura
2019 ◽  
Vol 65 (5) ◽  
pp. 634-643 ◽  
Author(s):  
Adam L Bailey ◽  
Nathan Ledeboer ◽  
Carey-Ann D Burnham

Abstract BACKGROUND Historically, culture-based microbiology laboratory testing has relied on manual methods, and automated methods (such as those that have revolutionized clinical chemistry and hematology over the past several decades) were largely absent from the clinical microbiology laboratory. However, an increased demand for microbiology testing and standardization of sample-collection devices for microbiology culture, as well as a dwindling supply of microbiology technologists, has driven the adoption of automated methods for culture-based laboratory testing in clinical microbiology. CONTENT We describe systems currently enabling total laboratory automation (TLA) for culture-based microbiology testing. We describe the general components of a microbiology automation system and the various functions of these instruments. We then introduce the 2 most widely used systems currently on the market: Becton Dickinson's Kiestra TLA and Copan's WASPLab. We discuss the impact of TLA on metrics such as turnaround time and recovery of microorganisms, providing a review of the current literature and perspectives from laboratory directors, managers, and technical staff. Finally, we provide an outlook for future advances in TLA for microbiology with a focus on artificial intelligence for automated culture interpretation. SUMMARY TLA is playing an increasingly important role in clinical microbiology. Although challenges remain, TLA has great potential to affect laboratory efficiency, turnaround time, and the overall quality of culture-based microbiology testing.


2000 ◽  
Vol 46 (5) ◽  
pp. 751-756 ◽  
Author(s):  
Richard S Seaberg ◽  
Robert O Stallone ◽  
Bernard 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 ∼$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.


2020 ◽  
Vol 5 (4) ◽  
pp. 716-723 ◽  
Author(s):  
Charisse Liz Baste ◽  
David M Loeffler ◽  
Carmen Brana-Mulero ◽  
Archana Shah ◽  
Ming Jin

Abstract Background The capacity to integrate platforms across vendors and disciplines has become an essential feature in the design of total laboratory automation (TLA) due space and test menu constraints. However, data on its performance are lacking. We aim to evaluate an integrated third-party immunoassay platform to the TLA system for the performance of hepatitis testing using turnaround time (TAT). Methods We use the Beckman Power Express (PE) system with linked 2 Beckman AU5800, 2 Beckman DxI 800, 2 Abbott Architect i2000, and other accessory components. The PE system is managed and interfaced to the laboratory information system (LIS) through Beckman Remisol (middleware) and Cennexus (track software). The hepatitis tests are performed on the Abbott Architect i2000 using Abbott Instrument Manager (middleware) for test results and this is interfaced with LIS and Cennexus. Using Viewics and Microsoft Excel, the test volumes and TAT of hepatitis results were analyzed before (February 2017 to January 2018) and after (February 2018 to January 2019) integration. Results The TAT for each hepatitis test has decreased significantly, ranging from 13 to 81-minute reductions (P value <0.0001 for all tests) after instrument integration. The standard deviations of the TAT also decreased for each test. In addition, savings in labor expenditure of around 2 hours per day were observed. There were no laboratory space savings identified. Instead, 47.6 square foot more of space was utilized by the track connection lines. Conclusions Our findings show significant improvement of TAT of hepatitis testing with the integration of the third-party Abbott Architect i2000 to Beckman PE system. In addition, the synchronization of multiple middleware for specimen management and result reporting allow the laboratory to achieve new efficiencies handling reflex tests and managing human resources.


2021 ◽  
Vol 1 (1) ◽  
pp. 07-015
Author(s):  
Assama Riaz ◽  
Dinali Obeysekera ◽  
Kelsie Ruslow

Total Laboratory Automation (TLA) is the future of laboratory diagnostics due to its efficiency, reproducibility, better turnaround time (TATs), precision, sensitivity, and specificity. Microbiology is generally considered a human dependent field and still, most of the microbiology world is confused with TLA implementation. Two better-claimed technologies BD Kiestra InoqulA and Copan WASP have emerged as a well satisfactory solution of microbiology automation in the last decade. Here we design a practical approach and reviewed all studies of BD Kiestra InoqulA and Copan WASP, assessed microbiology samples in a healthcare setting.


2019 ◽  
Vol 25 (3) ◽  
pp. 293-299
Author(s):  
Caleb S. Roundy ◽  
David C. Lin ◽  
Paul J. Klopping ◽  
Ammon T. Ence ◽  
Anthony C. Krezel ◽  
...  

Clinical laboratory regulations require temperature monitoring of facilities, reagent and specimen storage, as well as temperature-dependent equipment. Real-time specimen temperature detection has not yet been integrated into total laboratory automation (TLA) solutions. An infrared (IR) pyrometer was paired with a complementary metal oxide semiconductor (CMOS) laser sensor and connected to an embedded networked personal computer (PC) to create a modular temperature detection unit for closed, moving clinical laboratory specimens. Accuracy of the detector was assessed by comparing temperature measurements to those obtained from thermocouples connected to battery-operated data loggers. The temperature detector was then installed on a pre-analytic laboratory automation system to assess specimen temperature before and after processing on an integrated thawing and mixing (T/M) robotic workcell. The IR temperature detector was able to accurately record temperature of closed, moving specimens on a pre-analytic automation system. The effectiveness of the T/M workcell was independently verified using the temperature detector. Specimen reroute on the pre-analytic automation track was identified as a potential risk for frozen specimens being inadvertently delivered to future, connected instrumentation. Automated IR temperature detection can be used to verify specimen temperature prior to instrument loading and/or sampling. Such systems could be used to prevent frozen specimens from being inadvertently loaded onto analytical instrumentation in TLA solutions.


2016 ◽  
Vol 22 (1) ◽  
pp. 44-49 ◽  
Author(s):  
Cristiano Ialongo ◽  
Massimo Pieri ◽  
Sergio Bernardini

Diluting a sample to obtain a measure within the analytical range is a common task in clinical laboratories. However, for urgent samples, it can cause delays in test reporting, which can put patients’ safety at risk. The aim of this work is to show a simple artificial neural network that can be used to make it unnecessary to predilute a sample using the information available through the laboratory information system. Particularly, the Multilayer Perceptron neural network built on a data set of 16,106 cardiac troponin I test records produced a correct inference rate of 100% for samples not requiring predilution and 86.2% for those requiring predilution. With respect to the inference reliability, the most relevant inputs were the presence of a cardiac event or surgery and the result of the previous assay. Therefore, such an artificial neural network can be easily implemented into a total automation framework to sensibly reduce the turnaround time of critical orders delayed by the operation required to retrieve, dilute, and retest the sample.


2018 ◽  
Vol 38 (5) ◽  
pp. 352-357 ◽  
Author(s):  
Tracy Louise Ellison ◽  
Maha Alharbi ◽  
Morad Alkaf ◽  
Shamad Elimam ◽  
Mariam Alfaries ◽  
...  

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