Securing Controlled Substances with Automated Compliance and AuditTrail Systems in Research Laboratories: A Nigerian Perspective

Authors

  • Esther Imoh Oritsebinone Department of Industrial Chemistry/Petrochemical Technology, School of Science Laboratory Technology, University of Port Harcourt, Nigeria. Author
  • Onyedikachi Fortune Nwandieze Department of Physics with Electronics Technology, School of Science Laboratory Technology, University of Port Harcourt, Nigeria. Author
  • Victor Akoma Francis Department of Physics with Electronics Technology, School of Science Laboratory Technology, University of Port Harcourt, Nigeria. Author
  • Gift Victor Amadi Department of Biomedical Technology, School of Science Laboratory Technology, University of Port Harcourt, Nigeria. Author
  • Henry Ebiowei Alpha Department of Biology, Bayelsa Medical University, Imgbi Road, Yenagoa, Nigeria. Author
  • Nkiruka Joy Ibeh Department of Industrial Chemistry/Petrochemical Technology, School of Science Laboratory Technology, University of Port Harcourt, Nigeria. Author
  • Chukwuemeka Godspower Onwugbuta Department of Biochemistry/Chemistry Technology, School of Science Laboratory Technology, University of Port Harcourt. Author

DOI:

https://doi.org/10.60787/ijrti.vol3no1.82

Keywords:

Controlled substances, Automated compliance, Audit trail, Inventory management, RFID tracking, Diversion prevention

Abstract

Manual recordkeeping for Schedule II–V controlled substances in Nigerian research laboratories creates persistent risks: data manipulation, weak audit trails, delayed discrepancy detection, and unauthorized access. This study analyzed regulatory requirements under the NAFDAC Act and NDLEA Act, reviewed recent NAFDAC enforcement actions (2023–2025), and designed an automated system integrating RFID tracking, biometric authentication, and tamper-proof digital audit trails. A discrete-event simulation model (built in Excel and Python) compared manual and automated workflows using 12 months of historical transaction data from a Nigerian biomedical laboratory. The automated system eliminated inventory discrepancies (reducing the average discrepancy from 4.8% to 0.1%), cut compliance reporting time from 4.2 hours to 1.1 hours per week (73% reduction), and shortened discrepancy detection lag from 15 days to under 2 minutes. The system also satisfied ALCOA+ data integrity principles and the physical security requirements of NAFDAC’s *Drugs and Related Products (Registration) Regulations, 2021*. We conclude that automation significantly improves security, traceability, and regulatory compliance for Nigerian research institutions. Future work should include live deployment and cost-benefit analysis.

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References

National Agency for Food and Drug Administration and Control (NAFDAC) Act, Cap N1, Laws of the Federation of Nigeria (LFN) 2004.

NAFDAC. (2025). Press release on nationwide enforcement operation against drug markets. Abuja: NAFDAC Headquarters.

National Drug Law Enforcement Agency (NDLEA) Act, Cap N30, Laws of the Federation of Nigeria (LFN) 2004 (as amended).

Drugs and Related Products (Registration) Regulations, 2021. S.I. No. 64 of 2021. Federal Republic of Nigeria Official Gazette.

NAFDAC. (2024). Inspection report: Inventory falsification at Lagos private research facility (Ref: NAFDAC/INSP/2024/112). Lagos: NAFDAC Inspection Directorate.

NDLEA. (2023). Case file on pentazocine theft from Ibadan teaching hospital laboratory (Ref: NDLEA/IB/CR/43/2023). Ibadan: NDLEA State Command.

NDLEA. (2025). Annual report on diversion of controlled substances from academic institutions. Abuja: NDLEA National Headquarters.

ID Tech Editorial Team. (2024). Biometrics can secure access to healthcare records and controlled substances: HID. ID Tech. https://idtechwire.com/biometrics-can-secure-access-to-healthcare-records-and-controlled-substances-hid/

Çakıcı, Ö.E., Fosso Wamba, S., & Bendavid, Y. (2025). Inventory management in healthcare: RFID applications for controlled substances. PMC, PMC12187701.

Wilke, C., Bowden, A., Sanders, T., Nickman, N.A., & Ashmead, P. (2023). Implementation of radio-frequency identification technology to optimize medication inventory management in the intraoperative setting. American Journal of Health-System Pharmacy, 80(6), 384–389. https://doi.org/10.1093/ajhp/zxac363

Rolko, E., & Chan, T. (2015). Implementation of radio frequency identification for medication tray management. Canadian Journal of Hospital Pharmacy, 68(5). https://doi.org/10.4212/cjhp.v68i5.1490

Bauer, R., Meissner, C., & Zwitkovits, M. (2025). Navigating data management requirements for sterile manufacturing. Pharmaceutical Online.

Gunal, M.M. (2012). A guide for building hospital simulation models. Health Systems, 1(1), 17–25.

Jahangirian, M., et al. (2010). Simulation in health care: a review and analysis. Journal of Simulation, 4(2), 91–101.

Federal Republic of Nigeria. (2021). Drugs and related products (registration) regulations, 2021 (S.I. No. 64 of 2021). Official Gazette No. 131. Retrieved from FAOLEX full document.

Uba, A., & Agboluaje, R. (2024, January 5). NDLEA nabs 1,336 suspects, secures 291 convictions, seizes 95 tonnes of illicit drugs in Lagos, Oyo. The Guardian Nigeria. https://guardian.ng/

GAO Group. Cloud-enabled laboratory reagent and chemical tracking system. Retrieved April 19, 2026, from https://gao-group.com/

Bos, H., Hosteins, G., Wijnholds, W., Braaksma, A., & Leeftink, G. (2026). Optimization of tray inventory levels in hospitals from an integral perspective. Health Care Management Science, 29(7). https://doi.org/10.1007/s10729-025-09673-2

Phan, T. T. D., & Pham, N. D. (2025). A hybrid inventory management model for pediatric tertiary hospitals in low- and middle-income countries: Integration of ABC–XYZ classification, simulation, and Just-in-Time implementation. Journal of Healthcare Administration, 15(1). https://doi.org/10.5430/jha.v15n1p1

Veit, M. (2025, October 28). Data integrity in the QC laboratory. LOGFILE, GMP Compliance Adviser. https://www.gmp-publishing.com/blog/data-integrity-in-the-qc-laboratory.

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Published

2026-07-06

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Articles

How to Cite

Oritsebinone, E. I., Nwandieze, O. F., Francis, V. A., Amadi, G. V., Alpha, H. E., Ibeh, N. J., & Onwugbuta, C. G. (2026). Securing Controlled Substances with Automated Compliance and AuditTrail Systems in Research Laboratories: A Nigerian Perspective. International Journal Of Research And Technopreneurial Innovations, 3(1), 99-106. https://doi.org/10.60787/ijrti.vol3no1.82

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