INFORMATION AND DIGITAL SYSTEMS FOR OCCUPATIONAL SAFETY MANAGEMENT IN BIOCHEMICAL LABORATORIES
DOI:
https://doi.org/10.31861/biosystems2025.03.342Keywords:
occupational safety, digitalization, biochemical laboratory, digital monitoring systems, biological and chemical risksAbstract
The work conducted a systematic analysis of the state of digitalization of occupational health and safety (OHS) and biosafety management in biochemical laboratories. The main attention was paid to the assessment of hazardous factors, risk classification and analysis of modern information and digital systems for monitoring and risk management. The aim of the study was to assess the possibilities of using information and digital systems for OHS management in biochemical laboratories and to determine their effectiveness in increasing personnel safety and optimizing management processes. For this purpose, an analytical review of peer-reviewed scientific publications, regulatory documents, international standards, and Ukrainian legislation was conducted. The search for sources was carried out through scientific databases (PubMed, Scopus, Web of Science, ScienceDirect, Google Scholar) and official resources of government bodies. It was established that the key risks for laboratory personnel are biological agents, as well as chemical, physical and psycho-emotional factors. It is shown that digital platforms, including monitoring systems, wearable devices and interactive online platforms, allow the integration of data on personnel, equipment, reagents and working conditions, increasing the effectiveness of preventive risk management and standardization of safety procedures. At the same time, barriers to the implementation of digital systems are identified, including high costs, the need for technical infrastructure, staff training and cybersecurity risks. Therefore, effective biosafety management in biochemical laboratories involves the integration of digital solutions with national legislation and international standards, systematic risk assessment, centralized incident monitoring, increasing staff competence and applying preventive safety measures.
References
1. Alzahrani, A. S. A., Alharbi, H. A. A., Alkhawlani, H. A. A., Orepi, A. A., Alamri, A. A., Alzahrani, A. A., Al Rashidi, M. A., Al Mabdi, M. B., Alzahrani, A. H., Al-Zahrani, Y. A. M., Alhusayni, O. S., Almami, F. A., Alsufyani, R. M., Alqurashi, L. M., & Alharbi, T. A. S. (2023). Automation and digitalization in laboratory testing: Revolutionizing accuracy and efficiency. Review of Contemporary Philosophy, 22(1), 2252–2266. https://reviewofconphil.com
2. Badea, D. O., Darabont, D. C., Trifu, A., Ivan, I., & Ciocirlea, V. (2025). A digital model for incident reporting to support occupational safety and health in laboratories. Laboratories, 2(2), 13. https://doi.org/10.3390/laboratories2020013
3. Bai, M., Liu, Y., Qi, M., Roy, N., Shu, C. M., Khan, F., & Zhao, D. (2022). Current status, challenges, and future directions of university laboratory safety in China. Journal of Loss Prevention in the Process Industries, 74, 104671. https://doi.org/10.1016/j.jlp.2021.104671
4. Chen, P., Zhang, Z., Huang, Y., Dai, L., & Hu, H. (2022). Risk assessment of marine accidents with fuzzy Bayesian networks and causal analysis. Ocean & Coastal Management, 228, 106323. https://doi.org/10.1016/j.ocecoaman.2022.106323
5. Demikhov, O., Dehtyarova, I. (2020). Розвиток організаційно-правових засад застосування цифрових технологій у сфері громадського здоров’я в Україні. Збірник наукових праць Національної академії державного управління при Президентові України. 80-87. https://doi.org/10.36030/2664-3618-2020-1-80-87.
6. Demikhov, O., Opanasiuk, Y., Demikhova, N., & Merisalu, E. (2023). A digital transformation into occupational health and safety systems: A review of the best practices in Europe. Agronomy Research, 21(2), 674–692. https://doi.org/10.15159/AR.23.083
7. El-Helaly, M. (2024). Artificial intelligence and occupational health and safety, benefits and drawbacks. Medicina del Lavoro, 115(2), e2024014. https://doi.org/10.23749/mdl.v115i2.15835
8. European Agency for Safety and Health at Work (EU‑OSHA). (2025). OiRA and other online risk assessment tools in national OSH strategies and legislation. OSHwiki. Retrieved July 18, 2025, from https://oshwiki.osha.europa.eu/en/themes/oira-and-other-online-risk-assessment-tools-national-osh-strategies-and-legislation
9. Güner, M.D. & Ekmekci, P.E. 2019. Health literacy level of casting factory workers and its relationship with occupational health and safety training. Workplace Health Safety, 67(9), 452–460. https://doi.org/10.1177/2165079919843306
10. Irastorza, X., Cavet, M., & Cockburn, W. (2019). Third European Survey of Enterprises on New and Emerging Risks 2019 (ESENER-3) (ZA7735; Version 1.0.0). GESIS Data Archive, Cologne. https://doi.org/10.4232/1.13649
11. Jafari, M. J., Pouyakian, M., Mozaffari, P., Laal, F., Mohamadi, H., Pour, M. T., & Hanifi, S. M. (2022). A new approach to chemicals warehouse risk analysis using computational fluid dynamics simulation and fuzzy Bayesian network. Heliyon, 8, e12520. https://doi.org/10.1016/j.heliyon.2022.e12520
12. Li, Z., Wang, X., Gong, S., Sun, N., & Tong, R. (2022). Risk assessment of unsafe behavior in university laboratories using the HFACS-UL and a fuzzy Bayesian network. Journal of Safety Research, 82, 13–27. https://doi.org/10.1016/j.jsr.2022.01.002
13. Ma, L., Ma, X., Xing, P., & Yu, F. (2022). A hybrid approach based on the HFACS-FBN for identifying and analysing human factors for fire and explosion accidents in the laboratory. Journal of Loss Prevention in the Process Industries, 75, Article 104675. https://doi.org/10.1016/j.jlp.2022.104675
14. Ma, T., Wang, Z., Yang, J., Huang, C., Liu, L., & Chen, X. (2022). Real-time risk assessment model for hazmat release accident involving tank truck. Journal of Loss Prevention in the Process Industries, 77, 104759. https://doi.org/10.1016/j.jlp.2022.104759
15. Williams, C. C. (2021). Online Interactive Risk Assessment (OiRA) for Micro and Small Enterprises [Technical report]. European Agency for Safety and Health at Work (EU‑OSHA). https://doi.org/10.13140/RG.2.2.12603.95523
16. Zhao, J., Cui, H., Wang, G., Zhang, J., & Yang, R. (2023). Risk assessment of safety level in university laboratories using questionnaire and Bayesian network. Journal of Loss Prevention in the Process Industries, 83, 105054. https://doi.org/10.1016/j.jlp.2023.105054
17. Zhao, Xiaoning & Wei, Zhongcheng & Gao, Yukun & Yin, Penggang. (2023). Laboratory Risk Assessment Based on SHELL-HACCP-Cloud Model. Sustainability, 15, 16590. https://doi.org/10.3390/su152416590
18. Boguslavska, S. I., & Chubenko, T. V. (2024). Integration of digital technologies into the mechanism of personnel development management in medical institutions. Economic Space, (194), 8–12. https://doi.org/10.30838/EP.194.8-12
19. Krainyuk, O. V., Buts, Y. V., & Bohatov, O. I. (2020). Enhancing production safety through digital technologies. Theory, Science and Practice: Abstracts of III International Scientific and Practical Conference, Tokyo, Japan, 421–423. https://doi.org/10.46299/ISG.2020.II.III
20. Krainyuk, O. V., Buts, Y. V., Barbashin, V. V., & Didenko, N. V. (2020). Prospects of digitalization in the field of occupational safety. Municipal Economy of Cities, 6(159), 130–138. https://doi.org/10.33042/2522-1809-2020-6-159-130-138
21. Shvets, N., & Chernyachenko, D. (2019). Electronic form of employment contract in the context of labor law reform. Entrepreneurship, Economy and Law, (1), 84–89.
