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A computer architecture based on disruptive information technologies for drug management in hospitals

The drug management currently carried out in hospitals is inadequate due to several factors, such as processes carried out manually, the lack of visibility of the hospital supply chain, the lack of standardized identification of medicines, inefficient stock management, an inability to follow the tra...

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Detalles Bibliográficos
Autores principales: Chalmeta, Ricardo, Navarro-Ruiz, Andres, Soriano-Irigaray, Leticia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10319265/
https://www.ncbi.nlm.nih.gov/pubmed/37409078
http://dx.doi.org/10.7717/peerj-cs.1455
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author Chalmeta, Ricardo
Navarro-Ruiz, Andres
Soriano-Irigaray, Leticia
author_facet Chalmeta, Ricardo
Navarro-Ruiz, Andres
Soriano-Irigaray, Leticia
author_sort Chalmeta, Ricardo
collection PubMed
description The drug management currently carried out in hospitals is inadequate due to several factors, such as processes carried out manually, the lack of visibility of the hospital supply chain, the lack of standardized identification of medicines, inefficient stock management, an inability to follow the traceability of medicines, and poor data exploitation. Disruptive information technologies could be used to develop and implement a drug management system in hospitals that is innovative in all its phases and allows these problems to be overcome. However, there are no examples in the literature that show how these technologies can be used and combined for efficient drug management in hospitals. To help solve this research gap in the literature, this article proposes a computer architecture for the whole drug management process in hospitals that uses and combines different disruptive computer technologies such as blockchain, radio frequency identification (RFID), quick response code (QR), Internet of Things (IoT), artificial intelligence and big data, for data capture, data storage and data exploitation throughout the whole drug management process, from the moment the drug enters the hospital until it is dispensed and eliminated.
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spelling pubmed-103192652023-07-05 A computer architecture based on disruptive information technologies for drug management in hospitals Chalmeta, Ricardo Navarro-Ruiz, Andres Soriano-Irigaray, Leticia PeerJ Comput Sci Data Science The drug management currently carried out in hospitals is inadequate due to several factors, such as processes carried out manually, the lack of visibility of the hospital supply chain, the lack of standardized identification of medicines, inefficient stock management, an inability to follow the traceability of medicines, and poor data exploitation. Disruptive information technologies could be used to develop and implement a drug management system in hospitals that is innovative in all its phases and allows these problems to be overcome. However, there are no examples in the literature that show how these technologies can be used and combined for efficient drug management in hospitals. To help solve this research gap in the literature, this article proposes a computer architecture for the whole drug management process in hospitals that uses and combines different disruptive computer technologies such as blockchain, radio frequency identification (RFID), quick response code (QR), Internet of Things (IoT), artificial intelligence and big data, for data capture, data storage and data exploitation throughout the whole drug management process, from the moment the drug enters the hospital until it is dispensed and eliminated. PeerJ Inc. 2023-06-29 /pmc/articles/PMC10319265/ /pubmed/37409078 http://dx.doi.org/10.7717/peerj-cs.1455 Text en © 2023 Chalmeta et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited.
spellingShingle Data Science
Chalmeta, Ricardo
Navarro-Ruiz, Andres
Soriano-Irigaray, Leticia
A computer architecture based on disruptive information technologies for drug management in hospitals
title A computer architecture based on disruptive information technologies for drug management in hospitals
title_full A computer architecture based on disruptive information technologies for drug management in hospitals
title_fullStr A computer architecture based on disruptive information technologies for drug management in hospitals
title_full_unstemmed A computer architecture based on disruptive information technologies for drug management in hospitals
title_short A computer architecture based on disruptive information technologies for drug management in hospitals
title_sort computer architecture based on disruptive information technologies for drug management in hospitals
topic Data Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10319265/
https://www.ncbi.nlm.nih.gov/pubmed/37409078
http://dx.doi.org/10.7717/peerj-cs.1455
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