A Blinded Analysis of Quality and Fidelity in Orthopaedic Patient Education Materials Simplified by ChatGPT and Humans
This study is clinically relevant because orthopaedic PEMs are routinely delivered through the Epic electronic health record and directly affect patient understanding, consent, and adherence in both English and Spanish. By evaluating the readability and fidelity of AI-simplified materials across languages, this study informs safe, scalable strategies to improve patient communication in everyday orthopaedic practice.
Authors
- Manjot Singh (ORCID: https://orcid.org/0000-0003-4524-6226)
- Maxwell Sahhar (ORCID: https://orcid.org/0009-0009-7192-2575)
- Alex Hernandez-Manriquez
- Marco Kaper
- Anne-Emilie J. Rouffiac
- Joseph Carroll
- Lama A. Ammar
- Edward Akelman
- Alan H. Daniels
- Joseph E. Nassar
Institutions
- Brown University (US)
Publication Details
- Journal
- Journal of Bone and Joint Surgery
- Published
- 2026-02-26
- DOI
- https://doi.org/10.2106/jbjs.25.00982
- Primary Topic
- Text Readability and Simplification
- Type
- article
- Field-Weighted Citation Impact
- 0.00