Data matrix based low cost Autonomous detection of medicine packages

Detalhes bibliográficos
Autor(a) principal: Lima, José
Data de Publicação: 2022
Outros Autores: Rocha, Cláudia, Rocha, Luísa, Costa, Paulo Gomes da
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10198/27409
Resumo: Counterfeit medicine is still a crucial problem for healthcare systems, having a huge impact in worldwide health and economy. Medicine packages can be traced from the moment of their production until they are delivered to the costumers through the use of Data Matrix codes, unique identifiers that can validate their authenticity. Currently, many practitioners at hospital pharmacies have to manually scan such codes one by one, a very repetitive and burdensome task. In this paper, a system which can simultaneously scan multiple Data Matrix codes and autonomously introduce them into an authentication database is proposed for the Hospital Pharmacy of the Centro Hospitalar de Vila Nova de Gaia/Espinho, E.P.E. Relevant features are its low cost and its seamless integration in their infrastructure. The results of the experiments were encouraging, and with upgrades such as real-time feedback of the code’s validation and increased robustness of the hardware system, it is expected that the system can be used as a real support to the pharmacists.
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spelling Data matrix based low cost Autonomous detection of medicine packagesData matrixCodes scanPharmaceutical industryTraceabilityCounterfeit medicine is still a crucial problem for healthcare systems, having a huge impact in worldwide health and economy. Medicine packages can be traced from the moment of their production until they are delivered to the costumers through the use of Data Matrix codes, unique identifiers that can validate their authenticity. Currently, many practitioners at hospital pharmacies have to manually scan such codes one by one, a very repetitive and burdensome task. In this paper, a system which can simultaneously scan multiple Data Matrix codes and autonomously introduce them into an authentication database is proposed for the Hospital Pharmacy of the Centro Hospitalar de Vila Nova de Gaia/Espinho, E.P.E. Relevant features are its low cost and its seamless integration in their infrastructure. The results of the experiments were encouraging, and with upgrades such as real-time feedback of the code’s validation and increased robustness of the hardware system, it is expected that the system can be used as a real support to the pharmacists.This work is financed by National Funds through the Portuguese funding agency FCT - Fundação para a Ciência e Tecnologia, within the project LA/P/0063/2020.MDPIBiblioteca Digital do IPBLima, JoséRocha, CláudiaRocha, LuísaCosta, Paulo Gomes da2023-03-02T15:05:37Z20222022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10198/27409engLima, José; Rocha, Cláudia; Rocha, Luísa; Costa, Paulo (2022). Data matrix based low cost Autonomous detection of medicine packages. Applied Sciences. ISSN 2076-3417. 12:192076-341710.3390/app12199866info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-21T11:00:26Zoai:bibliotecadigital.ipb.pt:10198/27409Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:17:34.497251Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Data matrix based low cost Autonomous detection of medicine packages
title Data matrix based low cost Autonomous detection of medicine packages
spellingShingle Data matrix based low cost Autonomous detection of medicine packages
Lima, José
Data matrix
Codes scan
Pharmaceutical industry
Traceability
title_short Data matrix based low cost Autonomous detection of medicine packages
title_full Data matrix based low cost Autonomous detection of medicine packages
title_fullStr Data matrix based low cost Autonomous detection of medicine packages
title_full_unstemmed Data matrix based low cost Autonomous detection of medicine packages
title_sort Data matrix based low cost Autonomous detection of medicine packages
author Lima, José
author_facet Lima, José
Rocha, Cláudia
Rocha, Luísa
Costa, Paulo Gomes da
author_role author
author2 Rocha, Cláudia
Rocha, Luísa
Costa, Paulo Gomes da
author2_role author
author
author
dc.contributor.none.fl_str_mv Biblioteca Digital do IPB
dc.contributor.author.fl_str_mv Lima, José
Rocha, Cláudia
Rocha, Luísa
Costa, Paulo Gomes da
dc.subject.por.fl_str_mv Data matrix
Codes scan
Pharmaceutical industry
Traceability
topic Data matrix
Codes scan
Pharmaceutical industry
Traceability
description Counterfeit medicine is still a crucial problem for healthcare systems, having a huge impact in worldwide health and economy. Medicine packages can be traced from the moment of their production until they are delivered to the costumers through the use of Data Matrix codes, unique identifiers that can validate their authenticity. Currently, many practitioners at hospital pharmacies have to manually scan such codes one by one, a very repetitive and burdensome task. In this paper, a system which can simultaneously scan multiple Data Matrix codes and autonomously introduce them into an authentication database is proposed for the Hospital Pharmacy of the Centro Hospitalar de Vila Nova de Gaia/Espinho, E.P.E. Relevant features are its low cost and its seamless integration in their infrastructure. The results of the experiments were encouraging, and with upgrades such as real-time feedback of the code’s validation and increased robustness of the hardware system, it is expected that the system can be used as a real support to the pharmacists.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-01-01T00:00:00Z
2023-03-02T15:05:37Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10198/27409
url http://hdl.handle.net/10198/27409
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Lima, José; Rocha, Cláudia; Rocha, Luísa; Costa, Paulo (2022). Data matrix based low cost Autonomous detection of medicine packages. Applied Sciences. ISSN 2076-3417. 12:19
2076-3417
10.3390/app12199866
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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