Comparing the Accuracy and Readability of Glaucoma-related Question Responses and Educational Materials by Google and ChatGPT.

Aim and background: Patients are increasingly turning to the internet to learn more about their ocular disease. In this study, we sought (1) to compare the accuracy and readability of Google and ChatGPT responses to patients' glaucoma-related frequently asked questions (FAQs) and (2) to evaluate ChatGPT's capacity to improve glaucoma patient education materials by accurately reducing the grade level at which they are written. Materials and methods: We executed a Google search to identify the three most common FAQs related to 10 search terms associated with glaucoma diagnosis and treatment. Each of the 30 FAQs was inputted into both Google and ChatGPT and responses were recorded. The accuracy of responses was evaluated by three glaucoma specialists while readability was assessed using five validated readability indices. Subsequently, ChatGPT was instructed to generate patient education materials at specific reading levels to explain seven glaucoma procedures. The accuracy and readability of procedural explanations were measured. Results: ChatGPT responses to glaucoma FAQs were significantly more accurate than Google responses (97 vs 77% accuracy, respectively, Conclusion: ChatGPT is more accurate than Google search when responding to glaucoma patient FAQs. ChatGPT successfully reduced the reading level of glaucoma procedural explanations without sacrificing accuracy, with implications for the future of customized patient education for patients with varying health literacy. Clinical significance: Our study demonstrates the utility of ChatGPT for patients seeking information about glaucoma and for physicians when creating unique patient education materials at reading levels that optimize understanding by patients. An enhanced patient understanding of glaucoma may lead to informed decision-making and improve treatment compliance. How to cite this article: Cohen SA, Fisher AC, Xu BY,