Data matrix based low cost Autonomous detection of medicine packages
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , |
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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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) |
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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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1817550361199640576 |