Journal of Control & Instrumentation Review Article

Total Laboratory Automation in Resource-Constrained Settings: Cost-Effectiveness, Workflow Transformation, and Quality Outcomes

  1. Atul Khajuria Department of Paramedical & Allied Health Sciences, Desh Bhagat University
  2. Musaib Shameem Department of Paramedical Sciences / Allied Health Sciences, Desh Bhagat University
  3. Zubair Rashid Department of Paramedical Sciences / Allied Health Sciences, Desh Bhagat University
  4. Nahida Bilal Department of Paramedical Sciences / Allied Health Sciences, Desh Bhagat University
  5. Asif Ahmad Department of Paramedical Sciences / Allied Health Sciences, Desh Bhagat University
  6. Jasir Ahmad Department of Paramedical Sciences / Allied Health Sciences, Desh Bhagat University

Abstract

Total laboratory automation (TLA) has emerged as a transformative approach to enhance efficiency, quality, and safety in clinical laboratories. By integrating automated pre-analytical, analytical, and post-analytical processes, TLA has the potential to reduce errors, shorten turnaround times, and optimize resource utilization. However, the adoption of TLA in resource- constrained settings remains limited due to high capital investment requirements, infrastructural challenges, and workforce adaptation barriers. This review examines evidence on the cost- effectiveness of TLA, its impact on workflow transformation, and the resulting quality outcomes in low- and middle-income countries. We also explore strategies for contextual implementation, highlighting approaches that maximize clinical and operational benefits while mitigating financial and technical constraints. The practical difficulties of incorporating automated systems into current laboratory workflows such as equipment compatibility, employee training, maintenance needs, and the accessibility of technical support are given special consideration. The evaluation also considers how sustainable automation may be supported in labs with limited infrastructure through phased adoption, suitable technology selection, and effective resource allocation. This study outlines critical factors for attaining dependable and economical laboratory automation by looking at both the possible advantages and implementation challenges. Insights from this review provide guidance for policymakers, laboratory managers, and healthcare stakeholders aiming to optimize laboratory services in constrained environments while enhancing long-term sustainability, operational effectiveness, and service quality.

Keywords

References (11)

  1. Nordin N, Ab Rahim SN, Omar WF, Zulkarnain S, Sinha S, Kumar S, Haque M. Preanalytical errors in clinical laboratory testing at a glance: source and control measures. Cureus. 2024 Mar 30;16(3).
  2. Dwivedi T, Gajendra S, Gupta R. Total Laboratory Automation: Transforming the Landscape of Clinical Diagnostics. Indian Journal of Hematology and Blood Transfusion. 2026 Jun 1:1-2.
  3. Zaninotto M, Plebani M. The “hospital central laboratory”: automation, integration and clinical usefulness. Clin Chem Lab Med. 2010 Jul 1;48(7):911-7.
  4. Kim K, Lee SG, Kim TH, Lee SG. Economic evaluation of total laboratory automation in the clinical laboratory of a tertiary care hospital. Annals of laboratory medicine. 2022 Jan 1;42(1):89-95.
  5. Nam Y, Park HD. Revolutionizing laboratory practices: pioneering trends in total laboratory automation. Annals of laboratory medicine. 2025 Sep 1;45(5):472-83.
  6. Ashraf AA, Rai S, Alva S, Alva PD, Naresh S. Revolutionizing clinical laboratories: The impact of artificial intelligence in diagnostics and patient care. Diagnostic Microbiology and Infectious Disease. 2025 Apr 1;111(4):116728.
  7. Zhou H, Liu F, Gu B, Zou X, Huang J, Wu J, Li Y, Chen SS, Zhou P, Liu J, Hua Y. A survey of large language models in medicine: Progress, application, and challenge. arXiv preprint arXiv:2311.05112. 2023 Nov 9.
  8. Engel N, Wachter K, Pai M, Gallarda J, Boehme C, Celentano I, Weintraub R. Addressing the challenges of diagnostics demand and supply: insights from an online global health discussion platform. BMJ Global Health. 2016 Dec;1(4):e000132.
  9. Zhou H, Yang J, Xie P, Dong Y, You Y, Liu J. Cerebral microbleeds, cognitive impairment, and MRI in patients with diabetes mellitus. Clinica Chimica Acta. 2017 Jul 1;470:14-9.
  10. Yu HY, Lanzoni H, Steffen T, Derr W, Cannon K, Contreras J, Olson JE. Improving laboratory processes with total laboratory automation. Laboratory Medicine. 2019 Jan 1;50(1):96-102.
  11. Sarkozi L, Simson E, Ramanathan L. The effects of total laboratory automation on the management of a clinical chemistry laboratory. Retrospective analysis of 36 years. Clinica Chimica Acta. 2003 Mar 1;329(1-2):89-94.

Read more of it

Subscribe to one journal or build your own list of several. One invoice, one payment, access for a full year.

Subscribe to journals →

Publish your article

Peer-reviewed journals across every subject, with open access options. Send your manuscript to the right editor today.

Publish with us → Calculate your APC
Support