A Patient-Focused Comparative Analysis of Large Language Models for Epidural Analgesia Education

2Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Epidural analgesia is a common labor pain management method, yet patients often require clear education on its risks and benefits. This study assessed 2 large language models (LLM), ChatGPT (OpenAI) and MediSearch (Create.ai), as potential tools for educating patients about epidural analgesia. Using 100 patient-focused questions categorized by the Rothwell System, responses were evaluated with DISCERN reliability scores and readability metrics (Flesch-Kincaid Grade Level, Coleman-Liau Index). MediSearch achieved higher reliability (P

Cite

CITATION STYLE

APA

Patel, A. P., Joseph, S., Bhardwaj, A., Bajaj, P., Aggarwal, I., & Bailey, C. F. (2025). A Patient-Focused Comparative Analysis of Large Language Models for Epidural Analgesia Education. A and A Practice , 19(8), e02025. https://doi.org/10.1213/XAA.0000000000002025

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free