Research Article

      Abstract    

        

HOME

“A ROBUST METHOD FOR REDUCING SAMPLE RETRIEVAL TAT IN CLINICAL LABORATORY SETUP AT ZERO ADDED INVESTMENT.”

 

Anurag Yadav, Ramlingareddy, Avinash SS, Malathi M

ABSTRACT:

Background: The concept of Total Laboratory Automation (TLA) is shifting towards the automation in individual process i.e., Task Targeted automation (TTA). Sample storage is one of the key areas in the Total Testing Process (TTP), hence we developed a robust method to reduce the TAT for blood sample retrieval in clinical biochemistry laboratory with zero added investment. We compared the sample retrieval time (TAT) improvement in sample retrieval with the old conventional and the new method of sample storage. Material and method: study was conducted at a medium-large scale lab with average sample of 1000-1200 per day. The blood sample vacutainers are stored in the refrigerator at controlled temperature for the duration of 48hrs as the lab policy. We requested the technicians to retrieve 10 patient samples from the storage for the duration of 5 days, with different person allotted each day. The samples for day were stored and retrieved the requested sample by conventional & new method. Result: our new method has shown a good improvement in the TAT for the retrieval of the stored blood sample for the retesting or the added parameter for testing on request. The conventional method had an average time to identify and retrieve sample was 9.2mins, which was significantly decreased to 1.4mins with the new method of sample storage and retrieval system. Conclusion: Study emphasis this procedure / process will help the small and medium scale laboratories in having a robust method of sample storage and retrieval at a very short TAT with a minimal or no extra investment.

KEYWORD:  Total Testing Process, Total Laboratory Automation, clinical Biochemistry, Turnaround time (TAT).

REFERENCES:

  1. [1]. Zaninotto M, Plebani M. The “hospital central laboratory”: automation, integration and clinical usefulness. Clin Chem Lab Med. 2010;48(7):911–7.

  2. [2]. Pawlick GF, Smith C, Smith C. A task-targeted automation system: a case study. Clin Lab Manag Rev  Off Publ Clin  Lab Manag Assoc. 1999;13(6):351–6.

  3. [3]. Slaby JR. Robotic automation emerges as a threat to traditional low-cost outsourcing. HfS Res Ltd. 2012;1(1):3.

  4. [4]. Syed R, Suriadi S, Adams M, Bandara W, Leemans SJJ, Ouyang C, et al. Robotic process automation: contemporary themes and challenges. Comput Ind. 2020;115:103162.

  5. [5]. Markin RS, Whalen SA. Laboratory automation: trajectory, technology, and tactics. Clin Chem. 2000;46(5):764–71.

  6. [6]. Demiris C. Cost Justifying Clinical Laboratory Automation a Task Targeted AutomationTM(TTA) Approach to Justifying Laboratory Automation. JALA J Assoc Lab Autom. 2000;5(3):20–3.

  7. [7]. Marsden A, Shahtout A. International organization for standardization. Clin Lab Manag. 2013;447–50.

  8. [8]. Schneider F, Maurer C, Friedberg RC. International organization for standardization (ISO) 15189. Ann Lab Med. 2017;37(5):365–70.

  9. [9]. Jones Jr JB, Case VW. Sampling, handling, and analyzing plant tissue samples. Soil Test plant Anal. 1990;3:389–427.

  10. [10]. Hoffmann GE. Concepts for the third generation of laboratory systems. Clin Chim Acta. 1998;278(2):203–16.

  11. [11]. Yeste MLL, Mas ARP, Muñoz LG, Álvarez SI, García FM, Font AB, et al. Management of post-analytical processes in the clinical laboratory according to ISO 15189: 2012. Considerations about the management of clinical samples, ensuring quality of post-analytical processes, and laboratory information management. Adv Lab Med en Med Lab. 2021;2(3):373–80.

  12. [12]. Ebubekir B, Nurinnisa O, Nurcan K-B. Automation in the clinical laboratory: integration of several analytical and intralaboratory pre- and post-analytical systems. Turkish J Biochem. 2017;42(1):1–13.

  13. [13]. Lippi G, Guidi GC, Mattiuzzi C, Plebani M. Preanalytical variability: the dark side of the moon in laboratory testing. Clin Chem Lab Med. 2006;44(4):358–65.

  14. [14]. Yadav A, Yadav GAM, Narsingrao KK, Nanda Kumar LG, Yadav GSN. Prevalence of thyroid disorders among patients with diabetes in rural South India. Diabetes Metab Syndr Clin Res Rev. 2021;15(3):885–9.

  15. [15]. Plebani M. Errors in clinical laboratories or errors in laboratory medicine? Clin Chem Lab Med. 2006;44(6):750–9.

  16. [16]. Bonini P, Plebani M, Ceriotti F, Rubboli F. Errors in laboratory medicine. Clin Chem. 2002;48(5):691–8.

  17. [17]. Plebani M. The detection and prevention of errors in laboratory medicine. Ann Clin Biochem. 2010;47(2):101–10.

  18. [18]. Browning RA. The labor shortage, patient safety, and length of stay: new era of change agents prompts process improvements through lab automation. JALA J Assoc Lab Autom. 2004;9(1):24–7.

  19. [19]. Wilkins S, Boxall L. Standard Operating Procedure.

  20. [20]. Sasaki M, Kageoka T, Ogura K, Kataoka H, Ueta T, Sugihara S. Total laboratory automation in Japan: Past, present and the future. Clin Chim Acta. 1998;278(2):217–27.

  21. [21]. Park J-W, Koo S-H, Park B-K, Kwon G-C. Three-year experience in using total laboratory automation system. Southeast Asian J Trop Med Public Health. 2002;33:68–73.

  22. [22]. Tatsumi N, Okuda K, Tsuda I. A new direction in automated laboratory testing in Japan: five years of experience with total laboratory automation system management. Clin Chim acta. 1999;290(1):93–108.

  23. Fluhler E, Vazvaei F, Singhal P, Vinck P, Li W, Bhatt J, et al. Repeat analysis and incurred sample reanalysis: recommendation for best practices and harmonization from the global bioanalysis consortium harmonization team. AAPS J. 2014;16(6):1167–74.

  24. [24]. Streitberg GS, Bwititi PT, Angel L, Sikaris KA. Automation and expert systems in a core clinical chemistry laboratory. JALA J Assoc Lab Autom. 2009;14(2):94–105.

  25. [25]. Seaberg RS, Stallone RO, Statland BE. The role of total laboratory automation in a consolidated laboratory network. Clin Chem. 2000;46(5):751–6.

  26. [26]. Yeo CP, Ng WY. Automation and productivity in the clinical laboratory: experience of a tertiary healthcare facility. Singapore Med J. 2018;59(11):597–601.

  27. [27]. Henderson AR, Gardner MD. Clinical chemistry laboratory productivity: a comparison between a Canadian and a British teaching hospital. J Clin Pathol. 1981;34(1):44–8.

  28. [28]. Hernandez JS. Cost-effectiveness of laboratory testing. Arch Pathol Lab Med. 2003;127(4):440–5.

  29. [29]. Uhrmann J, Schulte A. Concept, design and evaluation of cognitive task-based UAV guidance. J Adv Intell Syst. 2012;5(1).

  30. [30]. Korinth J, Hofmann J, Heinz C, Koch A. The TaPaSCo open-source toolflow for the automated composition of task-based parallel reconfigurable computing systems. In: International Symposium on Applied Reconfigurable Computing. Springer; 2019. p. 214–29.

 To cite this article:

Yadav A, Ramlingareddy, Avinash SS, Malathi M. “A robust method for reducing sample retrieval tat in clinical laboratory setup at zero added investment.”. Int. J. Med. Lab. Res. 2022; 7,2:12-17. http://doi.org/10.35503/IJMLR.2022.7203