Comparación de 2 métodos de obtención de información de fármacos antiinfecciosos de uso en la UCI: revisión humana de fichas técnicas y uso de inteligencia artificial. Estudio cualitativo

IF 1 Q3 NURSING

Enfermeria Intensiva Pub Date : 2025-09-18 DOI:10.1016/j.enfi.2025.500564

Francisco Javier Mesa-Mesa RN, Francisco Manuel Cornejo-Gil RN, Jose Antonio Márquez-García RN

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Abstract

Introduction

ICUs are one of the services where serious infections are treated, so the use of anti-infective drugs, especially those administered intravenously, is daily. The nursing staff is in charge of preparing, diluting and administering these medications.

Objectives

This study aims to compare the coincidences between the data obtained through human consultation of the technical data sheets of anti-infective drugs for intravenous use in ICUs with those obtained through the same search with an AI tool.

Method

A search was carried out for 8 parameters in the technical specifications of 55 drugs. Subsequently, to deepen the theoretical framework, we conducted a bibliographic search, selected the articles that met our inclusion criteria and synthesized the data. Finally, we used ChatGPT to perform an analysis of the parameters that we had previously searched humanly.

Results

After an exhaustive comparison of the findings attained both through human search and through the use of AI (ChatGPT), the coincidence of most of them was a fact.

Conclusion

As a conclusion of the study, it must be said that the evidences gathered by using AI (ChatGPT) were not as deep as those obtained when human analysis was carried out. Anyway, this information was valid enough when preparing the drugs. Therefore, AI (ChatGPT) can be considered a complementary tool in this field.

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UCI中使用的两种抗感染药物信息收集方法的比较：人工数据表审查和人工智能的使用。定性研究

icu是治疗严重感染的服务场所之一，因此每天都要使用抗感染药物，特别是静脉注射抗感染药物。护理人员负责准备、稀释和使用这些药物。目的比较人工查阅icu静脉用抗感染药物技术资料表所得数据与人工智能工具检索所得数据的符合性。方法对55种药物的技术指标中8个参数进行检索。随后，为了深化理论框架，我们进行了文献检索，选择了符合我们纳入标准的文章并综合了数据。最后，我们使用ChatGPT对之前人工搜索的参数执行分析。结果：经过对人工搜索和人工智能（ChatGPT）的使用所获得的结果进行详尽的比较后，大多数结果的巧合是事实。作为研究的结论，必须说，使用AI （ChatGPT）收集的证据并不像进行人类分析时获得的证据那么深刻。无论如何，这些信息在制备药物时是足够有效的。因此，AI （ChatGPT）可以被认为是这一领域的补充工具。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Enfermeria Intensiva NURSING-

CiteScore

2.50

自引率

23.10%

发文量

期刊介绍： Enfermería Intensiva es el medio de comunicación por antonomasia para todos los profesionales de enfermería españoles que desarrollan su actividad profesional en las unidades de cuidados intensivos o en cualquier otro lugar donde se atiende al paciente crítico. Enfermería Intensiva publica cuatro números al año, cuyos temas son específicos para la enfermería de cuidados intensivos. Es la única publicación en español con carácter nacional y está indexada en prestigiosas bases de datos como International Nursing Index, MEDLINE, Índice de Enfermería, Cuiden, Índice Médico Español, Toxline, etc.