This article examines the specifics of improving ART laboratories. The objective of the study is to systematize and analyze advanced approaches to optimizing the operation of embryology laboratories by constructing an integrated model that combines technological innovations, quality management standards and methods for assessing staff professional competence to enhance the efficiency of ART procedures. As the methodological basis, a review of scientific publications and specialized reports for the period 2021–2025 was carried out, dedicated to the key parameters of embryology unit functioning. In the course of the analysis the following were examined in detail: integration of ISO 9001 requirements into the quality management system, application of artificial intelligence algorithms in embryo selection, implementation of noninvasive preimplantation genetic testing (niPGT-A) and harmonization of key performance indicators (KPI). On the basis of the obtained data an integrative management model Quality–Efficiency–Outcome (КЭР) is proposed, demonstrating the synergistic effect of comprehensive innovation implementation. It was revealed that the use of AI increases the accuracy of embryo viability prediction compared with traditional morphological assessment, while KPI standardization ensures a reduction in interlaboratory result variability. The results confirm that the transition from local to comprehensive solutions is the determining factor for sustainable improvement in ART cycle success rates. The practical significance of these materials is especially high for heads of reproductive medicine clinics, managers of embryology departments and related specialists.

Assisted reproductive technologies, embryology laboratory, quality management

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