Optimising Diagnostic Turnaround Time without Compromising Analytical Reliability: A Quality Management Framework for Clinical Biochemistry Laboratories
Keywords:
clinical biochemistry; turnaround time; analytical reliability; ISO 15189; quality management system; internal quality control; laboratory medicine; patient safetyAbstract
Clinical biochemistry laboratories are under persistent pressure to release diagnostically useful results rapidly while maintaining analytical validity, traceability and patient safety. In many laboratories, however, turnaround time (TAT) improvement and analytical reliability are handled as separate quality projects: one operational, the other technical. This separation is intellectually weak and managerially dangerous. A fast result that is analytically unreliable is not clinically useful, while an accurate result released too late may lose diagnostic value. This narrative review and quality-improvement framework argues that TAT and analytical reliability should be governed as linked outputs of the total testing process. Drawing on ISO 15189:2022, WHO laboratory quality management guidance, CLSI risk-based quality control principles, and IFCC quality indicator work, the manuscript proposes an integrated model for measuring, analysing, and improving diagnostic TAT without compromising analytical assurance. The framework distinguishes order-to-report, specimen-reception-to-release, analytical, and critical-result TAT; links each interval to pre-examination, examination, and post-examination risk controls; and proposes a dashboard that combines TAT distributions, quality-control performance, specimen rejection, analyser downtime, autoverification performance, and corrective-action tracking. The paper concludes that sustainable TAT improvement requires workflow redesign, competence management, information-system integrity, risk-based internal quality control, external quality assessment and disciplined corrective and preventive action. The contribution is a practical governance model rather than a claim of new empirical causality
References
1. International Organisation for Standardisation. ISO 15189:2022: Medical laboratories - Requirements for quality and competence. Geneva: ISO; 2022.
2. World Health Organisation. Laboratory quality management system: handbook. Geneva: WHO; 2011. ISBN 9789241548274.
3. Clinical and Laboratory Standards Institute. EP23: Laboratory Quality Control Based on Risk Management. 2nd ed. Wayne, PA: CLSI; 2023.
4. World Health Organisation. Laboratory Quality Stepwise Implementation tool: monitor adherence to the turnaround times as determined for each examination. WHO; accessed 2026.
5. Plebani M, Sciacovelli L, Aita A. Quality indicators for the total testing process. Clin Lab Med. 2017;37(1):187-205. doi:10.1016/j.cll.2016.09.015.
6. Sciacovelli L, Lippi G, Sumarac Z, West J, García del Pino Castro I, Furtado Vieira K, et al. Defining a roadmap for harmonising quality indicators in Laboratory Medicine: a consensus statement. Clin Chem
Lab Med. 2017;55(10):1478-1488. doi:10.1515/cclm-2017-0412.
7. Sciacovelli L, Aita A, Plebani M. Quality indicators in laboratory medicine: state-of-the-art, quality specifications and future strategies. Clin Chem Lab Med. 2023;61:688-696.
8. Westgard S, Bayat H, Westgard JO. Analytical Sigma metrics: a review of Six Sigma implementation tools for medical laboratories. Biochem Med (Zagreb). 2018;28(2):020502.doi:10.11613/BM.2018.020502.
9. Aishat Olutosin Olukotun (2026). Integrating Demand Forecasting, Real-Time Inventory Visibility, And Equitable Allocation Models to Mitigate Medication Shortages in U.S. Healthcare Supply Chains.
, 13(15), https://doi.org/10.51244/IJRSI.2026.1315PH00149.
10. European Federation of Clinical Chemistry and Laboratory Medicine. EFLM Biological Variation Database. Available from: https://biologicalvariation.eu/
11. Huf W, Mohns M, Almeta E, Lister R, Buchta C, Demyanets S, Buchberger W, Ettl B. Benchmarking medical laboratory performance on a global scale. Front Public Health. 2024;12:1363957.
doi:10.3389/fpubh.2024.1363957.
12. Plebani M. The detection and prevention of errors in laboratory medicine. Ann Clin Biochem. 2010;47(2):101-110. doi:10.1258/acb.2009.009222.
13. Lippi G, Chance JJ, Church S, Dazzi P, Fontana R, Giavarina D, et al. Preanalytical quality improvement: from dream to reality. Clin Chem Lab Med. 2011;49(7):1113-1126.
14. Pillai SP, et al. Laboratory quality management system fundamentals. Front Bioeng Biotechnol. 2025;13:1578654.
15. Alasi Bashirat Ololade. Improving Diagnostic Turnaround Time and Analytical Reliability in Clinical Biochemistry Laboratories: A Quality Management Framework”, IJLTEMAS, vol. 15, no. 6, pp. 3309–3320, Aug. 2026, doi: 10.51583/IJLTEMAS.2026.150600243.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Author(s)

This work is licensed under a Creative Commons Attribution 4.0 International License.
Articles published in the Journal of Advanced Multidisciplinary Studies (JAMS) are licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), unless otherwise stated. Authors retain copyright of their work and grant JAMS the right of first publication.
