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Automation, Lean, Six Sigma: Synergies for Improving Laboratory Efficiency

Automation, Lean, Six Sigma: Synergies for Improving Laboratory Efficiency

The Pathology Services worldwide, surrounded by products are today requesting solutions. The approach aims towards the brain-to-brain cycle between caregivers and laboratory professionals. Despite budgets limited to 2-3% of total healthcare expenses, Laboratories are providing information for > 70% of medical actions. »Perianalytics« is becoming the focus; understanding information and sample flow in the whole journey and processes. Process analysis is the main component to understand and shape the best combination of components in designing a truly cost-effective Laboratory solution. Methodologies like Lean (or Toyota Production System) and Six Sigma have started recently to be adopted also in healthcare and in the Laboratory environment. Those techniques showed already successful implementations in healthcare, after their development in other sectors. Their tools are addressing the definition of »value«, »waste«, »flow« as key drivers to improve performances. The synergy among the methods allows decision makers to identify the degree of automation really necessary in their laboratory, with streamlined processes. The different platforms made available by industries, for in vitro diagnostic testing, could become not cost-effective or efficient without a careful assessment of needs, pathways and value-related variables. Total laboratory automation or stand-alone islands for systems can be identified and chosen after process mapping and recommendations deployed with Lean and Six Sigma techniques. This article highlights some key concepts of Lean and their fit in laboratory organization, as methodologies to be implemented before selecting and adopting automated systems.

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Greater Efficiency Observed 12 Months Post-Implementation of an Automatic Tube Sorting and Registration System in a Core Laboratory/ Veća Efikasnost Uočena 12 Meseci Posle Implementacije Sistema za Automatsko Sortiranje i Registrovanje Uzoraka u Centralnoj Laboratoriji

: 540-8. 11. Felder RA, Boyd JC, Margrey K, Holman W, Savory J.Robotics in the medical laboratory. Clin Chem 1990; 36: 1534-43. 12. Markin RS, Whalen SA. Laboratory automation: trajectory, technology, and tactics. Clin Chem 2000; 46: 764-71. 13. Middleton SR. Developing an automation concept that is right for your laboratory. Clin Chem 2000; 46: 757-63. 14. Hawker CD, Garr SB, Hamilton LT, Penrose JR, Ashwood ER, Weiss RL. Automated transport and sorting system in a large reference laboratory: part 1

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Improving the Preanalytical Process: The Focus on Specimen Quality

Improving the Preanalytical Process: The Focus on Specimen Quality

Trends in clinical laboratory practice place more demands on the quality of patient specimens. Advances in analytical performance (i.e., increased automation, reduced sample volume, increased assay sensitivity), as well as efficiency and cost reduction gains (i.e., throughput, test turnaround time) have improved medical practice. These changes, however, have caused an increased incidence of preanalytical errors, dictating the need for higher-quality specimens. The following paper addresses these errors in addition to methodologies for improving the quality of the preanalytical phase.

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Concepts for Lean Laboratory Organization

. Oppolzer EM, Müller MM. Health care system and laboratory medicine in Austria: present status and future perspectives. Clin Chim Acta 1999; 290: 37-55. Price CP, Barnes IC. Laboratory medicine in the United Kingdom: 1948-1998 and beyond. Clin Chim Acta 1999; 290: 5-36. Markin RS, Whalen SA. Laboratory automation: trajectory, technology, and tactics. Clin Chem 2000; 46: 764-71. Battisto DG. Hospital clinical laboratories are in a constant state of change. Clin Leadersh Manag Rev 2004; 18: 86

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Progressive Automation - The Solution of Choice for Improving Lab Efficiency

laboratory organization. Journal of Medical Biochemistry 2010; 29: 330-338. Villa D. Automation, lean, six sigma: Synergies for improving laboratory efficiency. Journal of Medical Biochemistry 2010; 29: 339-348. Berman R. Designing and Implementing Laboratory Automation for Improved Patient Safety. Laboratory Medicine. January 2004. Bonini P, et al. Errors in Laboratory Medicine. Clin Chem 2002; 48 (5); 691-8. The Lewin Group. The Value of Diagnostics Innovation

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Pre-Analytical Workstations as a Tool for Reducing Laboratory Errors

automation for the clinical chemistry laboratory. Arch Pathol Lab Med 2007; 131: 1063-9. Hawker CD. Laboratory automation: total and subtotal. Clin Lab Med 2007; 27: 749-70. Da Rin G. Pre-analytical workstations: a tool for reducing laboratory errors. Clin Chim Acta 2009; 404: 68-74. Gurevitch D. Economic Justification of Laboratory Automation. JALA 2004; 9: 33-43. Felder R. Push for patient safety is nudge for automation. Laboratory automation systems & workcells. CAP

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Real Time Operating System Options in Connected Embedded Equipment for Distributed Data Acquisition

Foundation. April 3, 2009. [14] A. Ambike, W.-J. Kim and K. Ji Real-time operating environment for networked control systems”. American Control Conference, 2005, pp. 2353–2358, vol. 4. [15] W. Cedeno, W. and P.A. Laplante “An overview of real-time operating systems”, Journal of the Association for Laboratory Automation”, (2017) vol. 12, pp.40–45. [16] Dedicated Systems Comparison between QNX RTOS v6.1, VxWorks ae 1.1 and Windows CE.net. Technical report, Dedicated Systems. (2012).

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Project management in laboratory medicine

different solutions have been made available after the development of »flexible« laboratory automation, spanning from narrow automation of diagnostic areas (i.e., automation of clinical chemistry and/or immunochemistry testing), up to complete automation of the largest part of laboratory diagnostics (i.e., total laboratory automation; TLA). The choice between the many available solutions of laboratory automation is dependent on the available space for connecting multiple instrumentation and the residual (i.e., vital) space necessary for allowing the laboratory staff to

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Improving Fermentation of Steamed Stalk to Feed Using Candida utilis and Pachysolen tannophilus

., Singh, A. K. (2013). Microfluidic platforms for single-cell protein analysis. Journal of Laboratory Automation , 18(6), 446-454. 13. Li, Q., Yang, M., Wang, D. (2010). Efficient conversion of crop stalk wastes into succinic acid production by Actinobacillus succinogenes. Bioresource Technology , 101(9), 3292-3294. 14. Lingzhi, L., Chunling, L. (2009). Optimization of simultaneous saccharification and fermentation conditions for production of bioethanol from steam-exploded corn stover using response surface methodology. Chinese Journal of Bioprocess

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Microbial corrosion of metallic materials in a deep nuclear-waste repository

-306. 71. Jayaraman, A., et al., Axenic aerobic biofilms inhibit corrosion of copper and aluminum. Applied Microbiology Biotechnology 1999, 52 , 787±790. 72. Zuo, R., et al., The importance of live biofilms in corrosion protection. Corrosion Science 2005, 47 (2), 279-287. 73. Patel, C., et al., Combined spectrophotometric electrochemical impedance imaging system for biofilm research. Journal of the Association for Laboratory Automation 2005, 10 (1), 16-23. 74. Kim, T., et al., Influence of attached bacteria and biofilm on double

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