Article

Large Language Models Improve Coding Accuracy and Reimbursement in a Neonatal Intensive Care Unit

2025-07-24

Abstract excerpt

<h4>Importance</h4> Diagnosis coding is essential for clinical care, research validity, and hospital reimbursement. In neonatal settings, manual coding is frequently error-prone, contributing to misclassification and financial losses. Large language models (LLMs) offer a scalable approach to improve diagnostic consistency and optimize revenue. <h4>Objective</h4> To compare the diagnostic accuracy of LLMs with hu...

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Literature Corpus work: 8024a84b-c539-5fb8-9ca8-d212ddc0b7cb
DOI: 10.1101/2025.07.23.25332086

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