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Generative Artificial Intelligence to Transform Inpatient Discharge Summaries to Patient-Friendly Language and Format
201 Citations•2024•
Jonah Zaretsky, Jeong‐Min Kim, Samuel Baskharoun
It is suggested that a large language model could be used to translate discharge summaries into patient-friendly language and format, but implementation will require improvements in accuracy, completeness, and safety.
Abstract
The findings of this cross-sectional study of 50 discharge summaries suggest that LLMs can be used to translate discharge summaries into patient-friendly language and formats that are significantly more readable and understandable than discharge summaries as they appear in electronic health records. However, implementation will require improvements in accuracy, completeness, and safety. Given the safety concerns, initial implementation will require physician review.