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

Tomas Gabriel Bas (), Paula Astudillo, Daniel Rojo and Angel Trigo
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Tomas Gabriel Bas: Escuela de Ciencias Empresariales, Universidad Católica del Norte, Coquimbo 1780000, Chile
Paula Astudillo: Escuela de Ciencias Empresariales, Universidad Católica del Norte, Coquimbo 1780000, Chile
Daniel Rojo: Escuela de Ciencias Empresariales, Universidad Católica del Norte, Coquimbo 1780000, Chile
Angel Trigo: Escuela de Ciencias Empresariales, Universidad Católica del Norte, Coquimbo 1780000, Chile

IJERPH, 2023, vol. 20, issue 6, 1-17

Abstract: 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.

Keywords: artificial intelligence; industry 4.0; administrative management; logistic; supply chain; medical stock; health centers; north of Chile (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2023
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