Encarnação Rúben, Manuel Tânia, Palheira Hélder, Neves-Amado João, Alves Paulo
Centre for Interdisciplinary Research in Health, Faculty of Health Sciences and Nursing, Universidade Católica Portuguesa, 4169-005 Porto, Portugal.
Cardiology ICU, São João University Hospital Center, 4200-319 Porto, Portugal.
Nurs Rep. 2024 Mar 14;14(1):627-640. doi: 10.3390/nursrep14010048.
As healthcare continues evolving in the age of digital technology, the integration of artificial intelligence has emerged as a powerful force, particularly in wound care. The education of healthcare professionals in wound care is crucial for ensuring they acquire the necessary knowledge and skills, optimizing patient outcomes. This paper outlines the protocol for a scoping review with the goal of mapping and analyzing the current scientific evidence regarding the potential impact of artificial intelligence in wound care education. The current protocol follows the JBI methodological framework. The search was conducted in December 2023 in the following databases: CINAHL Complete (via EBSCOhost), MEDLINE (via PubMed), Cochrane Library, Academic Search Complete, Scientific Electronic Library Online (Scielo), Scopus, and Web of Science. Electronics searches were conducted in the Scientific Open Access Scientific Repositories of Portugal (RCAAP) and ProQuest Dissertations and Theses, OpenAIRE, and Open Dissertations databases to access gray literature. Additionally, searches were performed on Google Scholar and specific journals such as the International Wound Journal, Skin Research and Technology, Journal of Wound Care, and Wound Repair and Regeneration. The initial database searches retrieved a total of 11,323 studies. After removing duplicates, a total of 6450 studies were submitted for screening. Currently, 15 studies are included in this review, and data charting and analysis are underway. The findings of this scoping review will likely provide insights into the application of artificial intelligence in wound care education.
随着医疗保健在数字技术时代不断发展，人工智能的整合已成为一股强大力量，尤其是在伤口护理领域。对医疗保健专业人员进行伤口护理教育对于确保他们获得必要的知识和技能、优化患者治疗效果至关重要。本文概述了一项范围综述的方案，目的是梳理和分析关于人工智能在伤口护理教育中潜在影响的当前科学证据。当前方案遵循JBI方法框架。检索于2023年12月在以下数据库进行：护理学与健康领域数据库（通过EBSCOhost）、医学索引数据库（通过PubMed）、考克兰图书馆、学术搜索完整版、科学电子图书馆在线（Scielo）、Scopus和科学引文索引。在葡萄牙科学开放获取科学知识库（RCAAP）以及ProQuest学位论文、OpenAIRE和开放学位论文数据库中进行电子检索，以获取灰色文献。此外，还在谷歌学术以及《国际伤口杂志》《皮肤研究与技术》《伤口护理杂志》和《伤口修复与再生》等特定期刊上进行了检索。初步数据库检索共获得11323项研究。去除重复项后，共6450项研究提交进行筛选。目前，本综述纳入了15项研究，数据图表绘制和分析正在进行中。这项范围综述的结果可能会为人工智能在伤口护理教育中的应用提供见解。
