Assessing the Accuracy of Artificial Intelligence-Generated Clinical Summaries From Ambulatory Glaucoma Subspecialty Clinical Encounters

Key Points

• This research aims to evaluate the accuracy of AI-generated clinical summaries in glaucoma specialty settings.
• Analyzed clinical summaries generated by AI from glaucoma encounters
• Compared AI summaries with traditional patient summaries
• Assessed patient understanding and satisfaction with AI-generated content
• AI-generated summaries were found to improve patient understanding of their condition
• Patients reported higher satisfaction with standardized language
• The standardization potentially improves overall health literacy among patients