A Patient-Focused Comparative Analysis of Large Language Models for Epidural Analgesia Education
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.
Authors
- Pratima Bajaj (ORCID: https://orcid.org/0009-0001-0056-1719)
- Akshar P. Patel
- Stanley Joseph
- Caryl Bailey (ORCID: https://orcid.org/0000-0003-2731-7844)
- A. Bhardwaj
- Ishan Aggarwal
Institutions
- Augusta University (US)
Publication Details
- Journal
- A&A Practice
- Published
- 2025-08-01
- DOI
- https://doi.org/10.1213/xaa.0000000000002025
- Citations
- 1
- Primary Topic
- Cardiac, Anesthesia and Surgical Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 1.39