Talking technology: exploring chatbots as a tool for cataract patient education

Abstract

CLINICAL RELEVANCE: Worldwide, millions suffer from cataracts, which impair vision and quality of life. Cataract education improves outcomes, satisfaction, and treatment adherence. Lack of health literacy, language and cultural barriers, personal preferences, and limited resources may all impede effective communication. BACKGROUND: AI can improve patient education by providing personalised, interactive, and accessible information tailored to patient understanding, interest, and motivation. AI chatbots can have human-like conversations and give advice on numerous topics. METHODS: This study investigated the efficacy of chatbots in cataract patient education relative to traditional resources like the AAO website, focusing on information accuracy,understandability, actionability, and readability. A descriptive comparative design was used to analyse quantitative data from frequently asked questions about cataracts answered by ChatGPT, Bard, Bing AI, and the AAO website. SOLO taxonomy, PEMAT, and the Flesch-Kincaid ease score were used to collect and analyse the data. RESULTS: < 0.001)). CONCLUSION: Chatbots have the potential to provide more detailed and accurate data than the AAO website. On the other hand, the AAO website has the advantage of providing information that is more understandable and practical. When patient preferences are not taken into account, generalised or biased information can decrease reliability.

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