Artificial Intelligence in Wound Care Education: Protocol for a Scoping Review

Area of Science:

• Healthcare technology
• Medical education
• Wound management

Background:

• Digital transformation is reshaping healthcare delivery.
• Artificial intelligence (AI) presents significant opportunities in specialized medical fields like wound care.
• Effective education for healthcare professionals is vital for integrating new technologies and improving patient care in wound management.

Purpose of the Study:

• To systematically map and analyze the existing scientific literature on the role and impact of artificial intelligence (AI) in wound care education.
• To identify current trends and gaps in research concerning AI applications for training healthcare professionals in wound care.

Main Methods:

• A comprehensive scoping review protocol based on the JBI methodology.
• Extensive database searches (CINAHL, MEDLINE, Cochrane Library, etc.) and gray literature searches conducted in December 2023.
• Screening of over 6450 unique studies, with 15 studies currently included for data charting and analysis.

Main Results:

• Initial searches identified 11,323 studies, with 6450 unique studies undergoing screening.
• Currently, 15 studies have been included in the review.
• Data charting and analysis are in progress, with findings anticipated to illuminate AI's application in wound care education.

Conclusions:

• The findings will offer valuable insights into how artificial intelligence is being utilized and studied within wound care education.
• This review aims to guide future research and educational strategies for leveraging AI in wound care training.
• Understanding the current evidence landscape is crucial for optimizing the integration of AI in healthcare professional development.