Assessing ChatGPT responses to frequently asked patient questions in reconstructive urology
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View abstract on PubMed
Summary
This summary is machine-generated.ChatGPT-4o provides high-quality, understandable information for reconstructive urology patients, with prompt engineering improving actionability and reading level without increasing misinformation.
Area Of Science
- Artificial intelligence in medicine
- Urology
- Patient education
Background
- Artificial intelligence, such as ChatGPT, can enhance patient education on complex medical topics like reconstructive surgery.
- Evaluating the quality and accuracy of AI-generated medical information is crucial for patient safety and effective communication.
Purpose Of The Study
- To assess the information quality, misinformation, and readability of ChatGPT responses to reconstructive urology questions.
- To evaluate the effectiveness of prompt engineering in optimizing AI-generated patient education materials.
Main Methods
- 125 reconstructive urology questions across six domains were posed to ChatGPT-4o.
- Information quality (DISCERN), understandability and actionability (PEMAT-P), misinformation, and reading level (Flesch-Kincaid) were assessed.
- Prompt engineering was applied to the incontinence domain to evaluate response optimization.
Main Results
- ChatGPT-4o provided high-quality information (mean DISCERN 3.63) with good understandability (85.3%) but low actionability (37.2%).
- Responses exhibited minimal misinformation (mean 1.23) and were at a college graduate reading level.
- Prompt engineering significantly improved DISCERN scores, understandability, actionability, and reading level in the incontinence domain (p<0.001).
Conclusions
- ChatGPT-4o offers high-quality, understandable patient education for reconstructive urology with minimal misinformation.
- Prompt engineering effectively addresses limitations in actionability and reading level without introducing more misinformation.
- AI tools like ChatGPT-4o show promise in augmenting patient education in reconstructive urology.
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