Using Chatbot to Better Understand What Matters Most to Urogynecologic Patients.

Area of Science:

• Urogynecology
• Artificial Intelligence in Healthcare
• Patient-Reported Outcomes

Background:

• Urogynecology patients increasingly use technology for health information.
• Limited evidence exists on how patients describe pelvic floor issues or utilize digital resources.

Purpose of the Study:

• To analyze how patients articulate pelvic floor symptoms to an AI chatbot.
• To identify the specific information patients seek during initial AI-assisted consultations.

Main Methods:

• Mixed-methods secondary analysis of a randomized trial involving a large language model (ChatGPT 4.0).
• Patients used the AI chatbot for their urogynecologic concerns.
• Qualitative analysis of deidentified transcripts from 79 conversations.

Main Results:

• Analysis of 79 transcripts from 81 patients (English and Spanish speakers).
• Five thematic domains emerged: Language, Disease-Specific, Patient Experience, Treatment, and Chatbot Interactions.
• Identified themes provide novel insights into patient perspectives.

Conclusions:

• AI chatbots offer a unique perspective into patient understanding and information needs.
• Healthcare providers can leverage these insights for patient-centered education.
• Understanding patient language and experience is crucial for effective urogynecology care.