Can GPT-3.5 generate and code discharge summaries?

Matúš Falis Aryo Pradipta Gema Hang Dong Luke Daines Siddharth Basetti Michael Holder Rose S Penfold Alexandra Birch Beatrice Alex

Published in: Journal of the American Medical Informatics Association : JAMIA (2024)

While GPT-3.5 alone given our prompt setting is unsuitable for ICD-10 coding, it supports data augmentation for training neural models. Augmentation positively affects generation code families but mainly benefits codes with existing examples. Augmentation reduces out-of-family errors. Documents generated by GPT-3.5 state prompted concepts correctly but lack variety, and authenticity in narratives.

Keyphrases

soft tissue
electronic health record
patient safety
emergency department
machine learning
adverse drug