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智利北部卫生中心医疗库存后勤和供应链行政管理人员对人工智能(AI)潜在应用的相关意见。

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.

机构信息

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

出版信息

Int J Environ Res Public Health. 2023 Mar 9;20(6):4839. doi: 10.3390/ijerph20064839.

DOI:10.3390/ijerph20064839
PMID:36981748
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10048829/
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.

摘要

这项研究评估了负责智利北部医疗保健中心医疗药品物流和供应链行政管理的人员的意见,以及通过使用人工智能(AI)来提高他们的运营效率的潜力。问题的识别源于实证分析,其中证明了在药品和医院用品库存的手动处理和管理方面存在严重缺陷。这种不足使得无法及时满足物流和供应链的需求,导致医疗中心的库存短缺。基于这一发现,我们想知道人工智能如何被视为解决这一难题的最有效工具。结果是通过对负责医院和药房用品的人员进行调查获得的。问题集中在培训水平、与问题相关职位的资历、对法规的了解、物流和供应链以及采购中使用程序的创新性程度。然而,一个非常引人注目的事实与人工智能的重要性有关,非常令人惊讶的是,64.7%的人认为人工智能不会有助于减少在分析领域中产生的人为错误。

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