How Successful Is AI in Developing Postsurgical Wound Care Education Material?

Area of Science:

• Medical Education
• Artificial Intelligence in Healthcare
• Digital Health

Background:

• Patient education is crucial for effective postoperative wound care and recovery.
• Traditional methods of creating patient education materials can be time-consuming and may not always meet diverse patient needs.
• The integration of artificial intelligence (AI) offers potential for developing accessible and tailored health information.

Purpose of the Study:

• To develop artificial intelligence-supported wound care education material using ChatGPT 4.0 for post-surgical patients.
• To assess the understandability, applicability, accuracy, and overall quality of the AI-generated educational content.

Main Methods:

• A methodological study was conducted to create wound care education material with ChatGPT 4.0.
• Patient education needs were identified as the basis for content development.
• Expert review was obtained to evaluate the clarity, applicability, accuracy, and quality of the material.
• Various readability indices (Turkish Readability Index, Automated Readability Index, Simple Measure of Gobbledygook, Flesch-Kincaid, Flesch Reading Ease, Average Reading Level Consensus) were used for assessment.
• Patient-centered assessments, including the Patient Education Materials Assessment Tool (PEMAT) and Global Quality Scale, were employed.

Main Results:

• The AI-generated wound care education material was found to be easily understandable, with a Turkish readability index of 68.9.
• Multiple readability scores indicated appropriate levels for health literature (e.g., Flesch Reading Ease 59.0, Average Reading Level Consensus 9.99).
• High scores were achieved for understandability (93.90 ± 6.11) and applicability (90.20 ± 8.66) via PEMAT, alongside a high Global Quality Scale score (4.40 ± 0.69).

Conclusions:

• ChatGPT 4.0 is a valuable tool for generating understandable, applicable, accurate, and high-quality postoperative wound care education materials.
• AI-supported content development can significantly improve patient education resources in healthcare.
• This approach holds promise for enhancing patient comprehension and self-management of surgical recovery.