ChatGPT is a promising tool to increase readability of orthopedic research consents
Background/Purpose: Informed consent is a fundamental ethical requirement in medical research, ensuring that participants have a comprehensive understanding of the risks and benefits associated with their participation. Clinical researchers must ensure effective and efficient communication of the im...
Gespeichert in:
Veröffentlicht in: | Journal of orthopaedics, trauma and rehabilitation trauma and rehabilitation, 2024-12, Vol.31 (2), p.148-152 |
---|---|
Hauptverfasser: | , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | Background/Purpose: Informed consent is a fundamental ethical requirement in medical research, ensuring that participants have a comprehensive understanding of the risks and benefits associated with their participation. Clinical researchers must ensure effective and efficient communication of the implications of participation, but the complexity and length of traditional research consent forms can impede comprehension and create barriers to effective communication between researchers and participants. For this reason, the American Medical Association recommends a 6th grade reading level for all patient-facing medical information. Can the large language model, ChatGPT-3.5, improve readability while simultaneously preserving information necessary for adequate informed consent?. Methods: Nineteen IRB approved Orthopedic surgery research consent forms were entered into ChatGPT with instructions to make the form “readable at a 6th-grade level.” Post ChatGPT consent forms were assessed using commonly used readability metrics. Additionally, a single Orthopedic surgeon who has practiced independently for 15 years assessed the forms for accuracy and retention of imperative informed consent elements. Results: The median differences between pre-ChatGPT and post-ChatGPT were statistically significant for every readability metric (all p |
---|---|
ISSN: | 2210-4917 2210-4925 |
DOI: | 10.1177/22104917231208212 |