Research Article
Digital Transformation – Integration of Emerging Technologies in ISO/IEC 17025:2017 accredited Testing Laboratories: A Systematic Literature Review
@INPROCEEDINGS{10.4108/eai.19-12-2025.2362723, author={N V Anand Kumar and Shalini Wadhwa}, title={Digital Transformation -- Integration of Emerging Technologies in ISO/IEC 17025:2017 accredited Testing Laboratories: A Systematic Literature Review}, proceedings={Proceedings of the 1st International Conference on Computational Techniques in Data Science, IICTDS 2025, 19-20 December 2025, Chandigarh, India}, publisher={EAI}, proceedings_a={IICTDS}, year={2026}, month={11}, keywords={IS/ISO/IEC 17025:2017 Laboratory Information Management System (LIMS) Artificial Intelligence (AI) Digital Twins (DT)}, doi={10.4108/eai.19-12-2025.2362723} }- N V Anand Kumar
Shalini Wadhwa
Year: 2026
Digital Transformation – Integration of Emerging Technologies in ISO/IEC 17025:2017 accredited Testing Laboratories: A Systematic Literature Review
IICTDS
EAI
DOI: 10.4108/eai.19-12-2025.2362723
Abstract
This study provides a systematic review examining the digital transformation of testing laboratories by integrating emerging technologies like Laboratory Information Management System (LIMS), AI, Digital Twins (DT) and quality management frameworks aligned with IS/ISO/IEC 17025:2017. This review identifies a paradigm shift from analog, paper-based operations to intelligent, predictive analytics and machine-readable metrological traceability, addressing three key questions:(1) What emerging technologies are being integrated into ISO/IEC 17025:2017 accredited laboratories? (2) How do these technologies address specific operational and compliance challenges? (3) What barriers persist in achieving comprehensive digital transformation?" Key findings not only reveal that laboratories leveraging Industry 4.0 technologies report efficiency improvements in routine tasks, though face persistent problems like cybersecurity vulnerabilities, competence gaps, uncertainty and high implementation costs, but also demonstrate that a successful digital transformation requires holistic approach to address technological infrastructure, organizational, risk management, harmonization with standards and human-AI collaboration models. The contributions of this study include (1) conceptual frameworks linking LIMS, AI and Digital Twins to ISO/IEC 17025:2017 requirements and (2) identification of critical implementation barriers and future research directions for sustainable digital transformation.