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Validation of ChatGPT 3.5 as a Tool to Optimize Readability of Patient-facing Craniofacial Education Materials

Medha Vallurupalli, Nikhil D. Shah, Raj M. Vyas

2024Plastic & Reconstructive Surgery Global Open32 citationsDOIOpen Access PDF

Abstract

Background: To address patient health literacy, the American Medical Association recommends that readability of patient education materials should not exceed a sixth grade reading level; the National Institutes of Health recommend no greater than an eigth-grade reading level. However, patient-facing materials in plastic surgery often remain at an above-recommended average reading level. The purpose of this study was to evaluate ChatGPT 3.5 as a tool for optimizing patient-facing craniofacial education materials. Methods: Eighteen patient-facing craniofacial education materials were evaluated for readability by a traditional calculator and ChatGPT 3.5. The resulting scores were compared. The original excerpts were then inputted to ChatGPT 3.5 and simplified by the artificial intelligence tool. The simplified excerpts were scored by the calculators. Results: < 0.001), and the mean of the simplified excerpts was 7.78, less than the maximum recommended 8. Conclusions: The use of ChatGPT 3.5 for simplification and readability analysis of patient-facing craniofacial materials is efficient and may help facilitate the conveyance of important health information. ChatGPT 3.5 rendered readability scores comparable to traditional readability calculators, in addition to excerpt-specific feedback. It was also able to simplify materials to the recommended grade levels. With human oversight, we validate this tool for readability analysis and simplification.

Topics & Concepts

ReadabilityCalculatorCraniofacialHealth literacyReading (process)Grade levelMedical educationPatient educationComputer scienceMedicineMultimediaPsychologyHealth careMathematics educationFamily medicineEconomicsOperating systemLawPsychiatryPolitical scienceProgramming languageEconomic growthHealth Literacy and Information AccessibilityArtificial Intelligence in Healthcare and EducationPatient-Provider Communication in Healthcare