Artificial intelligence in wound care education: Scoping review

Area of Science:

• Healthcare Education
• Medical Technology
• Artificial Intelligence

Background:

• Artificial intelligence (AI) is revolutionizing healthcare education with novel teaching methods.
• The specific impact and effectiveness of AI in wound care education require further investigation.

Purpose of the Study:

• To systematically review and analyze existing research on AI in wound care education.
• To identify knowledge gaps and propose future research directions for AI implementation in this field.

Main Methods:

• A comprehensive scoping review adhering to Joanna Briggs Institute and PRISMA-ScR guidelines.
• Extensive database searches (CINAHL, MEDLINE, Scopus, Web of Science) and grey literature review conducted up to November 2024.
• Inclusion of all study designs on AI in wound care education published in English, Portuguese, or Spanish.

Main Results:

• Diverse AI applications identified, including adaptive e-learning, VR/AR simulations, generative AI, and diagnostic tools.
• AI technologies show potential for personalized learning, immediate feedback, and enhanced clinical skill development.
• A significant lack of empirical validation was noted across most studies, indicating integration challenges.

Conclusions:

• AI holds transformative potential for wound care education, promoting interactive and evidence-based learning.
• Collaboration among stakeholders (educators, policymakers, researchers) is essential for successful AI integration.
• Further research is imperative to ensure the effective, ethical, and equitable deployment of AI in wound care training.