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

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This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2026 | Volume : 17 | 03 | Page :
By

Atul Khajuria,

Musaib Shameem,

Zubair Rashid,

Nahida Bilal,

Asif Ahmad,

Jasir Ahmad,

  1. Professor & Head, Department of Paramedical & Allied Health Sciences, Desh Bhagat University, Punjab, India
  2. Assistant Professor, Department of Paramedical Sciences / Allied Health Sciences, Desh Bhagat University, Punjab, India
  3. Assistant Professor, Department of Paramedical Sciences / Allied Health Sciences, Desh Bhagat University, Punjab, India
  4. Assistant Professor, Department of Paramedical Sciences / Allied Health Sciences, Desh Bhagat University, Punjab, India
  5. Assistant Professor, Department of Paramedical Sciences / Allied Health Sciences, Desh Bhagat University, Punjab, India
  6. Assistant Professor, Department of Paramedical Sciences / Allied Health Sciences, Desh Bhagat University, Punjab, India

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: Total laboratory automation, resource-constrained settings, workflow optimization, cost-effectiveness, laboratory quality, low- and middle-income countries

How to cite this article: Atul Khajuria, Musaib Shameem, Zubair Rashid, Nahida Bilal, Asif Ahmad, Jasir Ahmad. Total Laboratory Automation in Resource-Constrained Settings: Cost-Effectiveness, Workflow Transformation, and Quality Outcomes. Journal of Control & Instrumentation. 2026; 17(03):-.
How to cite this URL: Atul Khajuria, Musaib Shameem, Zubair Rashid, Nahida Bilal, Asif Ahmad, Jasir Ahmad. Total Laboratory Automation in Resource-Constrained Settings: Cost-Effectiveness, Workflow Transformation, and Quality Outcomes. Journal of Control & Instrumentation. 2026; 17(03):-. Available from: https://journals.stmjournals.com/joci/article=2026/view=259630

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Ahead of Print Subscription Review Article
Volume 17
03
Received 07/09/2026
Accepted 05/10/2026
Published 09/10/2026
Publication Time 32 Days


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