Opinions Related to the Potential Application of Artificial Intelligence (AI) by the Responsible in Charge of the Administrative Management Related to the Logistics and Supply Chain of Medical Stock in Health Centers in North of Chile.

administrative management artificial intelligence health centers industry 4.0 logistic medical stock north of Chile supply chain

Journal

International journal of environmental research and public health
ISSN: 1660-4601
Titre abrégé: Int J Environ Res Public Health
Pays: Switzerland
ID NLM: 101238455

Informations de publication

Date de publication:
09 03 2023
Historique:
received: 24 01 2023
revised: 21 02 2023
accepted: 06 03 2023
medline: 30 3 2023
entrez: 29 3 2023
pubmed: 30 3 2023
Statut: epublish

Résumé

The research evaluated the opinion of those in charge of the administrative management of the logistics and supply chain of medical and pharmaceutical stocks of health care centers in the north of Chile and a potential improvement of their operations through the use of artificial intelligence (AI). The identification of the problem arose from the empirical analysis, where serious deficiencies in the manual handling and management of the stock of medicines and hospital supplies were evidenced. This deficiency does not allow a timely response to the demand of the logistics and supply chain, causing stock ruptures in health centers. Based on this finding, we asked ourselves how AI was observed as the most efficient tool to solve this difficulty. The results were obtained through surveys of personnel in charge of hospital and pharmacy supplies. The questions focused on the level of training, seniority in positions related to the problem, knowledge of regulations, degree of innovation in the procedures used in logistics and supply chain and procurement. However, a very striking fact was related to the importance of the use of AI, where, very surprisingly, 64.7% considered that it would not help to reduce human errors generated in the areas analyzed.

Identifiants

pubmed: 36981748
pii: ijerph20064839
doi: 10.3390/ijerph20064839
pmc: PMC10048829
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Références

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pubmed: 35478501
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pubmed: 29507784
Int J Health Plann Manage. 2018 Apr;33(2):e512-e530
pubmed: 29423976
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pubmed: 29857798
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pubmed: 36687285
Healthcare (Basel). 2021 Jul 29;9(8):
pubmed: 34442098
Nat Med. 2019 Jan;25(1):30-36
pubmed: 30617336

Auteurs

Tomas Gabriel Bas (TG)

Escuela de Ciencias Empresariales, Universidad Católica del Norte, Coquimbo 1780000, Chile.

Paula Astudillo (P)

Escuela de Ciencias Empresariales, Universidad Católica del Norte, Coquimbo 1780000, Chile.

Daniel Rojo (D)

Escuela de Ciencias Empresariales, Universidad Católica del Norte, Coquimbo 1780000, Chile.

Angel Trigo (A)

Escuela de Ciencias Empresariales, Universidad Católica del Norte, Coquimbo 1780000, Chile.

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Classifications MeSH