GAmBBa: A Platform for Automated Laboratory Workflow Management and Molecular Surveillance Biobanking
Resumo
Molecular surveillance and the diagnosis of infectious and neglected diseases require a robust and traceable data flow, spanning from sample collection to the interpretation and reporting of genomic results. However, in many laboratory settings, these processes still depend on manual procedures and spreadsheet-based workflows, which increase the risk of transcription errors, compromise traceability, and limit scalability. At the Molecular Surveillance Platform (PVM) at Fiocruz, these challenges became particularly evident during high-demand scenarios such as the COVID-19 pandemic, when 47,220 samples from 16 municipalities in Bahia, Brazil, were processed to support SARS-CoV-2 diagnosis. In this study, we present GAmBBa (Management of Biological Samples by Barcode), a web-based computational platform designed to automate laboratory workflow management, enable end-to-end sample tracking through barcode identification, integrate communication between laboratory instruments and information systems, and support biobank storage and retrieval. GAmBBa structures the entire sample lifecycle digitally, reducing manual data entry and improving interoperability across laboratory processes. The implementation of GAmBBa has enhanced operational efficiency by minimizing errors, increasing processing capacity, and reducing turnaround time for diagnostic results. The platform proved particularly valuable in high-throughput environments, supporting large-scale molecular surveillance and strengthening the reliability of laboratory outputs. Our findings demonstrate that integrated digital solutions such as GAmBBa are essential to modernize laboratory infrastructures and to support timely and scalable responses to public health demands.Referências
Akingbade, A. et al. (2024). Preanalytical errors in clinical laboratory testing at a glance. Cureus, 16(3).
Bennett, E. et al. (2018). Evaluation of data exchange process for interoperability and impact on electronic laboratory reporting quality to a state public health agency. Online Journal of Public Health Informatics, 10(2):e216.
Berg, M. et al. (2020). Automated sample storage in biobanking to enhance translational research. Biopreservation and Biobanking, 18(1):1–10.
Brown, A. and Badrick, T. (2022). The next wave of innovation in laboratory automation: systems for auto-verification, quality control and specimen quality assurance. Clinical Chemistry and Laboratory Medicine (CCLM), 61:37 – 43.
Islam, S. U., Kamboj, K., and Kumari, A. (2023). Laboratory automation and its effects on workflow efficiency in medical laboratories. Middle East Journal of Applied Science amp; Technology.
ISO (2018). Biotechnology – biobanking – general requirements for biobanking.
Iturritza, M. U., Mlotshwa, P., Gantelius, J., Alfvén, T., Loh, E., Karlsson, J., Hadjineophytou, C., Langer, K., Mitsakakis, K., Russom, A., Jönsson, H. N., and Gaudenzi, G. (2024). An automated versatile diagnostic workflow for infectious disease detection in low-resource settings. Micromachines, 15.
Mencacci, A., Socio, G. D. D., Pirelli, E., Bondi, P., and Cenci, E. (2023). Laboratory automation, informatics, and artificial intelligence: current and future perspectives in clinical microbiology. Frontiers in Cellular and Infection Microbiology, 13.
More, D., Khan, N., Tekade, R., and Sengupta, P. (2024). An update on current trend in sample preparation automation in bioanalysis: strategies, challenges and future direction. Critical Reviews in Analytical Chemistry, 55:1461 – 1485.
Mrazek, C. et al. (2020). Errors within the total laboratory testing process, from test selection to medical decision-making – a review. Biochemia Medica, 30(2):020502.
O’Carroll, P. W. et al. (2016). Interoperability of information systems managed and used by the public health system. BMC Public Health, 16:1–12.
Office of the National Coordinator for Health Information Technology (2025). Laboratory data standards for interoperability.
Socea, J. N., Stone, V. N., Qian, X., Gibbs, P. L., and Levinson, K. J. (2023). Implementing laboratory automation for next-generation sequencing: benefits and challenges for library preparation. Frontiers in Public Health, 11.
Thurow, K. (2023). Strategies for automating analytical and bioanalytical laboratories. Analytical and Bioanalytical Chemistry, pages 1 – 10.
Bennett, E. et al. (2018). Evaluation of data exchange process for interoperability and impact on electronic laboratory reporting quality to a state public health agency. Online Journal of Public Health Informatics, 10(2):e216.
Berg, M. et al. (2020). Automated sample storage in biobanking to enhance translational research. Biopreservation and Biobanking, 18(1):1–10.
Brown, A. and Badrick, T. (2022). The next wave of innovation in laboratory automation: systems for auto-verification, quality control and specimen quality assurance. Clinical Chemistry and Laboratory Medicine (CCLM), 61:37 – 43.
Islam, S. U., Kamboj, K., and Kumari, A. (2023). Laboratory automation and its effects on workflow efficiency in medical laboratories. Middle East Journal of Applied Science amp; Technology.
ISO (2018). Biotechnology – biobanking – general requirements for biobanking.
Iturritza, M. U., Mlotshwa, P., Gantelius, J., Alfvén, T., Loh, E., Karlsson, J., Hadjineophytou, C., Langer, K., Mitsakakis, K., Russom, A., Jönsson, H. N., and Gaudenzi, G. (2024). An automated versatile diagnostic workflow for infectious disease detection in low-resource settings. Micromachines, 15.
Mencacci, A., Socio, G. D. D., Pirelli, E., Bondi, P., and Cenci, E. (2023). Laboratory automation, informatics, and artificial intelligence: current and future perspectives in clinical microbiology. Frontiers in Cellular and Infection Microbiology, 13.
More, D., Khan, N., Tekade, R., and Sengupta, P. (2024). An update on current trend in sample preparation automation in bioanalysis: strategies, challenges and future direction. Critical Reviews in Analytical Chemistry, 55:1461 – 1485.
Mrazek, C. et al. (2020). Errors within the total laboratory testing process, from test selection to medical decision-making – a review. Biochemia Medica, 30(2):020502.
O’Carroll, P. W. et al. (2016). Interoperability of information systems managed and used by the public health system. BMC Public Health, 16:1–12.
Office of the National Coordinator for Health Information Technology (2025). Laboratory data standards for interoperability.
Socea, J. N., Stone, V. N., Qian, X., Gibbs, P. L., and Levinson, K. J. (2023). Implementing laboratory automation for next-generation sequencing: benefits and challenges for library preparation. Frontiers in Public Health, 11.
Thurow, K. (2023). Strategies for automating analytical and bioanalytical laboratories. Analytical and Bioanalytical Chemistry, pages 1 – 10.
Publicado
01/06/2026
Como Citar
ALENCAR, Andrêza Leite de; GOMES, Saulo; MOURA, Karina; SILVA, Jessica; NERY JR, Nivison; KHOURI, Ricardo.
GAmBBa: A Platform for Automated Laboratory Workflow Management and Molecular Surveillance Biobanking. In: WORKSHOP DE COMPUTAÇÃO APLICADA ÀS DOENÇAS TROPICAIS NEGLIGENCIADAS - SIMPÓSIO BRASILEIRO DE COMPUTAÇÃO APLICADA À SAÚDE (SBCAS), 26. , 2026, Ouro Preto/MG.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2026
.
p. 238-247.
ISSN 2763-8987.
DOI: https://doi.org/10.5753/sbcas_estendido.2026.25684.
