Optimizing Patient-Facing AI Chatbot Questions to Improve Readability and Actionability in Anesthesia Education

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Authors

• Sarah Kadado, Oakland University William Beaumont School of Medicine Medical Student
• Bianca Elias, Oakland University William Beaumont School of Medicine Medical Student
• Roy Soto, Corewell Health East

Description

In anesthesia, high patient anxiety and limited counseling time increase the need for clear, usable information. Artificial intelligence (AI) chatbots (e.g., ChatGPT) are increasingly used for patient anesthesia education. Many AI-generated responses exceed the recommended 6th-8th grade reading level for patient education information. Responses also often lack actionable guidance for patients. This study quantifies how optimizing patient-facing prompts improves readability, understandability, and actionability.

Publication Date

5-7-2026

City

Farmington Hills, MI

Keywords

patient-facing chatbot, AI chatbot, AI, anesthesia education

Disciplines

Anesthesiology | Medical Education | Medicine and Health Sciences

Recommended Citation

Kadado S, Elias B, Soto R. Optimizing patient-facing AI chatbot questions to improve readability and actionability in anesthesia education. Presented at 2026 Corewell Health Hospital William Beaumont University Medical Education Week; 2026 May 7; Farmington Hills, MI.

Comments

2026 Medical Education Week at Corewell Health Hospital Farmington Hills, Farmington Hills, MI, May 7, 2026.