A Patient-Focused Comparative Analysis of Large Language Models for Epidural Analgesia Education
Year: 2025
Type: article
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 < .0001), while ChatGPT excelled in readability (P =.0013). Findings highlight an imbalance between reliability and readability between the 2 LLMs.
Source: A&A Practice
Authors: Akshar P. Patel, Stanley Joseph, Ashna Bhardwaj, Pratima Bajaj, Ishan Aggarwal, Caryl F. Bailey
Institution: Augusta University
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4412958462