References
- Dolci A, Giavarina D, Pasqualetti S, Szőke D, Panteghini M. Total laboratory automation: do stat tests still matter? Clin Biochem 2017;50:605–11. https://doi.org/10.1016/j.clinbiochem.2017.04.002
- Kritikos A, Prod'Hom G, Jacot D, Croxatto A, Greub G. The impact of laboratory automation on the time to urine microbiological results: a five-year retrospective study. Diagnostics (Basel) 2024;14:1392.
- Hawker CD, Roberts WL, Garr SB, Hamilton LT, Penrose JR, Ashwood ER, et al. Automated transport and sorting system in a large reference laboratory: part 2. Implementation of the system and performance measures over three years. Clin Chem 2002;48:1761–7. https://doi.org/10.1093/clinchem/48.10.1761
- Seaberg RS, Stallone RO, Statland BE. The role of total laboratory automation in a consolidated laboratory network. Clin Chem 2000;46:751–6. https://doi.org/10.1093/clinchem/46.5.751
- Bailey AL, Ledeboer N, Burnham CD. Clinical microbiology is growing up: the total laboratory automation revolution. Clin Chem 2019;65:634–43. https://doi.org/10.1373/clinchem.2017.274522
- Saddari A, Ezrari S, Benaissa E, Lahlou YB, Elouennass M, Maleb A. Robotization in microbiology. Ann Biol Clin (Paris) 2024;82:489–99. https://doi.org/10.1684/abc.2024.1922
- McElvania E, Mindel S, Lemstra J, Brands K, Patel P, Good CE, et al. Automated detection of methicillin-resistant Staphylococcus aureus with the MRSA CHROM imaging application on BD Kiestra Total Lab Automation System. J Clin Microbiol 2024;62:e0144523.
- Trigueiro G, Oliveira C, Rodrigues A, Seabra S, Pinto R, Bala Y, et al. Conversion of a classical microbiology laboratory to a total automation laboratory enhanced by the application of lean principles. Microbiol Spectr 2024;12:e0215323.
- Antonios K, Croxatto A, Culbreath K. Current state of laboratory automation in clinical microbiology laboratory. Clin Chem 2021;68:99–114. https://doi.org/10.1093/clinchem/hvab242
- Jasuja JK, Zimmermann S, Burckhardt I. Applicability and performance of EUCAST's rapid antimicrobial susceptibility testing (RAST) on primarily sterile body fluids in blood culture bottles in laboratory routine with total lab automation. Eur J Clin Microbiol Infect Dis 2021;40:1217–25. https://doi.org/10.1007/s10096-020-04146-6
- López Yeste ML, Pons Mas AR, Guiñón Muñoz L, Izquierdo Álvarez S, García FM, Blanco Font A, 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 2021;2:373–89.
- International Organization for Standardization IOf. ISO: 15189:2022: Medical laboratories: requirements for quality and competence: ISO, 2022. https://clsi.org/standards/products/iso-documents/documents/iso-15189-2022/.
- Illana FJ, García-Osuna Á, Sospedra M, Ferrer R, Martínez-Brú C, Guiñón L. Quality assurance of add-on testing in plasma samples: stability limit for 29 biochemical analytes. Biochem Med (Zagreb) 2024;34:020704.
- García-Osuna Á, Guiñón Muñoz L, Costa Pallaruelo M, Mansilla Usero A, Cuevas Eduardo B, Llanos Ramos J, et al. Characterization of add-on testing before and after automation at a core laboratory. Heliyon 2023;9:e22096.
- Yeo CP and Ng WY. Automation and productivity in the clinical laboratory: experience of a tertiary healthcare facility. Singapore Med J 2018;59:597–601. https://doi.org/10.11622/smedj.2018136
- Plebani M. Harmonization in laboratory medicine: more than clinical chemistry? Clin Chem Lab Med 2018;56:1579–86. https://doi.org/10.1515/cclm-2017-0865
- Lippi G, Simundic AM, European Federation for Clinical Chemistry and Laboratory Medicine (EFLM) Working Group for Preanalytical Phase (WG-PRE). The EFLM strategy for harmonization of the preanalytical phase. Clin Chem Lab Med 2018;56:1660–6. https://doi.org/10.1515/cclm-2017-0277
- Haeckel R, Wosniok W, Arzideh F, Zierk J, Gurr E, Streichert T. Critical comments to a recent EFLM recommendation for the review of reference intervals. Clin Chem Lab Med 2017;55:341–7. https://doi.org/10.1515/cclm-2016-1112
- Aita A, Sciacovelli L, Plebani M. The silk road to total quality in laboratory medicine. Clin Chem Lab Med 2019;57:769–72. https://doi.org/10.1515/cclm-2019-0331
- Kim K, Lee SG, Kim TH, Lee SG. Economic evaluation of total laboratory automation in the clinical laboratory of a tertiary care hospital. Ann Lab Med 2022;42:89–95. https://doi.org/10.3343/alm.2022.42.1.89
- Archetti C, Montanelli A, Finazzi D, Caimi L, Garrafa E. Clinical Laboratory automation: a case study. J Public Health Res 2017;6:881. https://doi.org/10.4081/jphr.2017.881
- Markin RS and Whalen SA. Laboratory automation: trajectory, technology, and tactics. Clin Chem 2000;46:764–71. https://doi.org/10.1093/clinchem/46.5.764
- Holland LL, Smith LL, Blick KE. Total laboratory automation can help eliminate the laboratory as a factor in emergency department length of stay. Am J Clin Pathol 2006;125:765–70. https://doi.org/10.1309/3J5P9VJRUP4U5RU5
- Angeletti S, De Cesaris M, Hart JG, Urbano M, Vitali MA, Fragliasso F, et al. Laboratory automation and intra-laboratory turnaround time: experience at the university hospital campus Bio-Medico of Rome. J Lab Autom 2015;20:652–8. https://doi.org/10.1177/2211068214566458
- Ialongo C, Porzio O, Giambini I, Bernardini S. Total automation for the core laboratory: improving the turnaround time helps to reduce the volume of ordered STAT tests. J Lab Autom 2016;21:451–8. https://doi.org/10.1177/2211068215581488
- Armbruster DA, Overcash DR, Reyes J. Clinical chemistry laboratory automation in the 21st century – amat victoria curam (victory loves careful preparation). Clin Biochem Rev 2014;35:143–53.
- Goswami B, Singh B, Chawla R, Gupta VK, Mallika V. Turn around time (TAT) as a benchmark of laboratory performance. Indian J Clin Biochem 2010;25:376–9. https://doi.org/10.1007/s12291-010-0056-4
- Howanitz JH and Howanitz PJ. Laboratory results. Timeliness as a quality attribute and strategy. Am J Clin Pathol 2001;116:311–5. https://doi.org/10.1309/H0DY-6VTW-NB36-U3L6
- QYResearch. Lab automation (TTA and TLA) market report:– the global market share and ranking, overall sales and demand forecast 2024-2030. https://www.qyresearch.com/industry-news/4853/lab-automation--tta-and-tla---. (Updated on Jun 2024).
- Precedence research. Lab automation market size, share and trends 2024 to 2034. https://www.precedenceresearch.com/lab-automation-market (Updated on Aug 2024).
- Wilson S, Steele S, Adeli K. Innovative technological advancements in laboratory medicine: predicting the lab of the future. Biotechnol Biotechnol Equip 2022;36(S1):S9–S21. https://doi.org/10.1080/13102818.2021.2011413
- Brown AS and Badrick T. The next wave of innovation in laboratory automation: systems for auto-verification, quality control and specimen quality assurance. Clin Chem Lab Med 2022;61:37–43. https://doi.org/10.1515/cclm-2022-0409
- Karnchanaphiboonwong A, Sringam P, Niwattakul K, Krommuang T, Gammie A. Innovation, automation and informatics improves quality in Lerdsin Hospital, Thailand. Br J Biomed Sci 2023;80:11532. https://doi.org/10.3389/bjbs.2023.11532
- Jitendra Acharya F, Bhesaniya K, Saraswat Panchal JKGNC. Estimating approximate solutions of non-linear Caputo fractional differential equations with forcing functions using Picard's iteration method. Tuijin Jishu J Propul Technol 2023;44:6034–41.
- Huang W, Huang D, Ding Y, Yu C, Wang L, Lv N, et al. Clinical application of intelligent technologies and integration in medical laboratories. iLABMED 2023;1:82–91.
- Islam MM, Poly TN, Yang H-C, Li YJ. Deep into laboratory: an artificial intelligence approach to recommend laboratory tests. Diagnostics (Basel) 2021;11:990. https://doi.org/10.3390/diagnostics11060990
- You J, Seok HS, Kim S, Shin H. Advancing laboratory medicine practice with machine learning: swift yet exact. Ann Lab Med 2025;45:22-35. https://doi.org/10.3343/alm.2024.0354
- Farrell CL. Decision support or autonomous artificial intelligence? The case of wrong blood in tube errors. Clin Chem Lab Med 2022;60:1993–7. https://doi.org/10.1515/cclm-2021-0873
- Marescotti D, Narayanamoorthy C, Bonjour F, Kuwae K, Graber L, Calvino-Martin F, et al. AI-driven laboratory workflows enable operation in the age of social distancing. SLAS Technol 2022;27:195–203. https://doi.org/10.1016/j.slast.2021.12.001
- Wang H, Wang H, Zhang J, Li X, Sun C, Zhang Y. Using machine learning to develop an autoverification system in a clinical biochemistry laboratory. Clin Chem Lab Med 2021;59:883–91. https://doi.org/10.1515/cclm-2020-0716
- Kim HJ, Kim M, Zhang H, Kim HR, Jeon JW, Seo Y, et al. Artificial intelligence in diagnostics: enhancing urine test accuracy using a mobile phone–based reading system. Ann Lab Med 2025;45:178-84. https://doi.org/10.3343/alm.2024.0304
- Bai J, Cao L, Mosbach S, Akroyd J, Lapkin AA, Kraft M. From platform to knowledge graph: evolution of laboratory automation. JACS Au 2022;2:292–309. https://doi.org/10.1021/jacsau.1c00438
- Comeaga ML. Digital transformation of the laboratories. In: IOP Conf S Mater Sci Eng 2022;1268:012001. https://doi.org/10.1088/1757-899X/1268/1/012001
- Ye Q and Zhao B. Analysis of laboratory data management based on LIMS system technology. In: World Automation Congr. (WAC). San Antonio: IEEE, 2022:103–7.
- Hawker CD. Nonanalytic laboratory automation: aA quarter cCentury of progress. Clin Chem 2017;63:1074–82. https://doi.org/10.1373/clinchem.2017.272047
- Cobbaert C, Albersen A, Zwiers I, Schippers P, Gillis J. Designing a diagnostic Total Testing Process as a base for supporting diagnostic stewardship. Clin Chem Lab Med 2020:cclm-2020-1251.
- Cherkaoui A and Schrenzel J. Total laboratory automation for rapid detection and identification of microorganisms and their antimicrobial resistance profiles. Front Cell Infect Microbiol 2022;12:807668. https://doi.org/10.3389/fcimb.2022.807668
- Yu HE, Lanzoni H, Steffen T, Derr W, Cannon K, Contreras J, et al. Improving laboratory processes with total laboratory automation. Lab Med 2019;50:96–102. https://doi.org/10.1093/labmed/lmy031
- Lu Q, Chu K, Dou H, Smith ZJ. A sample-preparation-free, automated, sample-to-answer system for cell counting in human body fluids. Anal Bioanal Chem 2021;413:5025–35. https://doi.org/10.1007/s00216-021-03466-6
- Evans JV. Automation and molecular diagnostics: a new era in clinical microbiology. American Society for Clinical Laboratory Science, 2020; doi:10.29074/ascls.119.001883.
- Fontana C, Favaro M, Pelliccioni M, Minelli S, Bossa MC, Altieri A, et al. Laboratory automation in microbiology: impact on turnaround time of microbiological samples in COVID time. Diagnostics (Basel) 2023;13:2243. https://doi.org/10.3390/diagnostics13132243
- Omair AOM, Jabbar AMA, Albulushi MO. Recent advancements in laboratory automation technology and their impact on scientific research and laboratory procedures. Int J Health Sci 2023;7:3043–52. https://doi.org/10.53730/ijhs.v7nS1.2023
- Al Naam YA, Elsafi S, Al Jahdali MH, Al Shaman RS, Al-Qurouni BH, Al Zahrani EM. The impact of total automaton on the clinical laboratory workforce: a case study. J Healthc Leadersh 2022;14:55–62. https://doi.org/10.2147/JHL.S362614
- Karadağ C and Demirel NN. Continual improvement of the pre-analytical process in a public health laboratory with quality indicators-based risk management. Clin Chem Lab Med 2019;57:1530–8. https://doi.org/10.1515/cclm-2019-0019
- Vercruysse K, Lambrecht S, Oyaert M. Total lab automation: sample stability of clinical chemistry parameters in an automated storage and retrieval module. Clin Chem Lab Med 2022;60:52–9. https://doi.org/10.1515/cclm-2021-0866
- Roundy CS, Lin DC, Klopping PJ, Ence AT, Krezel AC, Genzen JR. Specimen temperature detection on a Clinical Laboratory pre-analytic automation track: implications for direct-from-track total laboratory automation (TLA) systems. SLAS Technol 2020;25:293–9. https://doi.org/10.1177/2472630319881999
- Genzen JR, Burnham CD, Felder RA, Hawker CD, Lippi G, Peck Palmer OM. Challenges and opportunities in implementing total laboratory automation. Clin Chem 2018;64:259–64. https://doi.org/10.1373/clinchem.2017.274068
- Parra-Robert M, Rico-Santana N, Alcaraz-Quiles J, Sandalinas S, Fernández E, Falcón I, et al. Improvement in the stability of serum samples stored in an automated refrigerated module. Clin Biochem 2016;49:1396–8. https://doi.org/10.1016/j.clinbiochem.2016.10.012
- Boyd J. Robotic laboratory automation. Science 2002;295:517–8. https://doi.org/10.1126/science.295.5554.517
- Lippi G and Da Rin G. Advantages and limitations of total laboratory automation: a personal overview. Clin Chem Lab Med 2019;57:802–11. https://doi.org/10.1515/cclm-2018-1323
- Young DS. Laboratory automation: smart strategies and practical applications. Clin Chem 2000;46:740–5. https://doi.org/10.1093/clinchem/46.5.740
- Nancarrow SA. Six principles to enhance health workforce flexibility. Hum Resour Health 2015;13:9. https://doi.org/10.1186/1478-4491-13-9
- Rodriques S. Guidelines for implementing automation in a hospital laboratory setting–part II. Clin Leadersh Manag Rev 2007;21:E3.
- Ialongo C and Bernardini S. Total laboratory automation has the potential to be the field of application of artificial intelligence: the cyber-physical system and "Automation 4.0". Clin Chem Lab Med 2019;57:e279–81. https://doi.org/10.1515/cclm-2019-0226
- Loh TP, Cervinski MA, Katayev A, Bietenbeck A, van Rossum H, Badrick T, et al. Recommendations for laboratory informatics specifications needed for the application of patient-based real time quality control. Clin Chim Acta 2019;495:625–9. https://doi.org/10.1016/j.cca.2019.06.009
- Mencacci A, De Socio GV, Pirelli E, Bondi P, Cenci E. Laboratory automation, informatics, and artificial intelligence: current and future perspectives in clinical microbiology. Front Cell Infect Microbiol 2023;13:1188684. https://doi.org/10.3389/fcimb.2023.1188684
- Hou H, Zhang R, Li J. Artificial intelligence in the clinical laboratory. Clin Chim Acta 2024;559:119724. https://doi.org/10.1016/j.cca.2024.119724
- Munir T, Akbar MS, Ahmed S, Sarfraz A, Sarfraz Z, Sarfraz M, et al. A systematic review of Internet of things in clinical laboratories: opportunities, advantages, and challenges. Sensors (Basel) 2022;22:8051. https://doi.org/10.3390/s22208051
- Richardson LC, Connell ND, Lewis SM, Pauwels E, Murch RS. Cyberbiosecurity: a call for cooperation in a new threat landscape. Front Bioeng Biotechnol 2019;7:99. https://doi.org/10.3389/fbioe.2019.00099
- Reed JC and Dunaway N. Cyberbiosecurity implications for the laboratory of the future. Front Bioeng Biotechnol 2019;7:182. https://doi.org/10.3389/fbioe.2019.00182