Assignment of Unique Specimen IDs and Barcodes to Pathology Image Samples in Medical Laboratories in Burkina Faso

The accurate and efficient assignment of unique identifiers to biomedical specimens, along with the generation of barcodes for pathology samples, are crucial elements in ensuring the quality and reliability of medical diagnostics. In Burkina Faso, the adoption of an automated system for these tasks marks a significant advancement in laboratory management. This article explores the impact of this automation on reducing human errors, improving sample traceability, and optimizing operational processes. Indeed, the integration of AJAX queries for the dynamic management of specimen numbers allows for real-time updates and reduces the risks of duplication or incorrect assignment. Furthermore, the use of specialized libraries for the automatic generation of barcodes ensures a unique and secure identification of each sample, thereby facilitating its tracking throughout the analysis process. This modernization of sample management practices not only improves the efficiency of laboratories but also optimizes processing times, thus enhancing the quality of care and diagnostics provided to patients.

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Publication Details

Journal
Studies in health technology and informatics
Published
2025-04-08
DOI
https://doi.org/10.3233/shti250132
Primary Topic
Biomedical Text Mining and Ontologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Assignment of Unique Specimen IDs and Barcodes to Pathology Image Samples in Medical Laboratories in Burkina Faso

Seydou Golo Barro, Pascal Staccini, Thomas Alassane Ouattara
Studies in health technology and informatics
Biomedical Text Mining and Ontologies
article

Assignment of Unique Specimen IDs and Barcodes to Pathology Image Samples in Medical Laboratories in Burkina Faso

Seydou Golo Barro, Pascal Staccini, Thomas Alassane Ouattara
article en

Abstract

The accurate and efficient assignment of unique identifiers to biomedical specimens, along with the generation of barcodes for pathology samples, are crucial elements in ensuring the quality and reliability of medical diagnostics. In Burkina Faso, the adoption of an automated system for these tasks marks a significant advancement in laboratory management. This article explores the impact of this automation on reducing human errors, improving sample traceability, and optimizing operational processes. Indeed, the integration of AJAX queries for the dynamic management of specimen numbers allows for real-time updates and reduces the risks of duplication or incorrect assignment. Furthermore, the use of specialized libraries for the automatic generation of barcodes ensures a unique and secure identification of each sample, thereby facilitating its tracking throughout the analysis process. This modernization of sample management practices not only improves the efficiency of laboratories but also optimizes processing times, thus enhancing the quality of care and diagnostics provided to patients.

Studies in health technology and informaticsVol. 323
Nazi Boni University (BF), Cognition Behaviour Technology (FR)
Openalex Percentile: Top 86%
Biomedical Text Mining and Ontologies
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