Artificial intelligence in wound care education: protocol for a scoping review

Rúben Encarnação*, Tânia Manuel, Hélder Palheira, João Neves-Amado, Paulo Alves

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)
13 Downloads

Abstract

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.
Original languageEnglish
Pages (from-to)627-640
Number of pages14
JournalNursing Reports
Volume14
Issue number1
DOIs
Publication statusPublished - 14 Mar 2024

Keywords

  • Artificial intelligence
  • Education
  • Scoping review
  • Wound

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