Martinez-Ortigosa Adrian, Martinez-Granados Alejandro, Gil-Hernández Esther, Rodriguez-Arrastia Miguel, Ropero-Padilla Carmen, Roman Pablo
Emergency Department, San Cecilio University Hospital, Granada, Spain.
Faculty of Health Sciences, Department of Nursing Science, Physiotherapy and Medicine, University of Almeria, Almeria, Spain.
J Nurs Manag. 2023 Jul 26;2023:3219127. doi: 10.1155/2023/3219127. eCollection 2023.
To synthesise the available evidence on the applicability of artificial intelligence in nursing care.
Artificial intelligence involves the replication of human cognitive abilities in machines, allowing to perform tasks that conventionally necessitate human cognition. However, its application in health sciences is a recent one, and its use is currently limited to supporting the diagnosis and prognosis of hospitalised patients, among others. . A systematic review was conducted in the PubMed-Medline, Scopus, CINAHL, Web of Science, and Nursing & Allied Health databases until September 2022, following the PRISMA guidelines. . A total of 21 articles were selected for the review. The different applications of artificial intelligence in nursing identified comprised (i) advances in early disease detection and clinical decision making; (ii) artificial intelligence-based support systems in nursing for patient monitoring and workflow optimisation; and (iii) artificial intelligence insights for nursing training and education.
Artificial intelligence-based systems demonstrated increased autonomy of patients and professionals in care processes such as wound management through guided instructions, improved workflows, and efficiency in terms of time, materials, and human resources. . Artificial intelligence applied to nursing practice can be a very useful resource for professionals, managers, and supervisors. It has the potential to change current working flow systems and may serve as a down-to-earth resource to support nursing professionals in their decision-making process that ensures high quality and patient safety care.
综合关于人工智能在护理中适用性的现有证据。
人工智能涉及在机器中复制人类认知能力，使其能够执行传统上需要人类认知的任务。然而，其在健康科学中的应用是最近才出现的，目前其应用仅限于支持住院患者的诊断和预后等方面。按照PRISMA指南，截至2022年9月，在PubMed-Medline、Scopus、CINAHL、Web of Science以及护理与联合健康数据库中进行了系统综述。共筛选出21篇文章用于该综述。确定的人工智能在护理中的不同应用包括：（i）早期疾病检测和临床决策方面的进展；（ii）护理中基于人工智能的支持系统，用于患者监测和工作流程优化；以及（iii）人工智能在护理培训和教育方面的见解。
基于人工智能的系统在诸如伤口管理等护理过程中，通过指导性说明、改进工作流程以及在时间、材料和人力资源方面提高效率，展现出患者和专业人员在护理过程中的自主性增强。应用于护理实践的人工智能对于专业人员、管理人员和监督人员而言可能是一项非常有用的资源。它有可能改变当前的工作流程系统，并可作为一种切实可行的资源，在确保高质量和患者安全护理的决策过程中支持护理专业人员。
