Chatbot Use by Patients Seeking Urogynecologic Consultation: A Randomized Trial

Engineering notes

Engineering notes will be added by the aipentium editorial team.

Chinese explanation / 中文解读

中文解读待补充：本站会优先为大语言模型、生成式AI、ChatGPT相关技术、计算机视觉、深度学习等高价值论文补充中文说明。

Original abstract

Importance Urogynecology patients increasingly investigate their problems using technology-based resources, yet the effect of artificial intelligence (AI) chatbots on patient decision making remains unclear. Objective The objective of this study was to investigate the effect of the use of an AI chatbot platform on patient decisional conflict during an initial urogynecology visit. Study Design In this institutional review board-approved, single-center randomized trial, patients presenting with prolapse, incontinence, or lower urinary tract symptoms were assigned to 1 of 3 groups: (1) ChatGPT-4o (OpenAI) use before the visit, (2) after the visit, or (3) usual care without chatbot use. English- and Spanish-speaking participants used ChatGPT to ask questions about their primary concern. Demographics, prior information-seeking behavior, and visit details were collected. Surveys administered immediately and at 3 months assessed understanding of diagnosis and treatment, decisional conflict (Decisional Conflict Scale), visit satisfaction, and chatbot satisfaction. Chatbot transcripts were analyzed for readability. Results Among 125 randomized patients (July 2024–December 2024), attrition at 3 months was 3.2%. Most participants were White (78.2%) with at least a high school education (92.8%), and 98.8% had no prior medical chatbot use. Demographics and diagnoses were similar across groups. Decisional conflict was low and did not differ immediately ( P = 0.691) or at 3 months ( P = 0.875). Understanding of diagnosis, visit satisfaction, and chatbot satisfaction were similar between groups. By 3 months, home chatbot use was more common in the intervention arms ( P = 0.011). Chatbot responses averaged an 11th–12th grade reading level. Conclusions Patient use of a chatbot peri-visit did not affect decisional conflict. While increasingly accepted, chatbots may not yet optimally support urogynecologic patient-centered decision making.

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