TrachGPT: Appraisal of tracheostomy care recommendations from an artificial intelligent Chatbot

Abstract Objective Safe home tracheostomy care requires engagement and troubleshooting by patients, who may turn to online, AI‐generated information sources. This study assessed the quality of ChatGPT responses to such queries. Methods In this cross‐sectional study, ChatGPT was prompted with 10 hypothetical tracheostomy care questions in three domains (complication management, self‐care advice, and lifestyle adjustment). Responses were graded by four otolaryngologists for appropriateness, accuracy, and overall score. The readability of responses was evaluated using the Flesch Reading Ease (FRE) and Flesch–Kincaid Reading Grade Level (FKRGL). Descriptive statistics and ANOVA testing were performed with statistical significance set to p