PreprintAll rights reservedmedRxiv
Beyond Billing Codes: An Agentic Large Language Model Pipeline for Extracting Glaucoma Procedural Data from Free-Text Clinical Notes
Related
- Extracting smoking history from clinical notes for lung cancer screening decision support: comparing a structured-judgment model with general-purpose large language models
- Extracting Symptoms of Psychotic Disorders from Clinical Notes using Natural Language Processing.
- Extraction of clinical information from faxed medical records using a small local large language model pipeline on consumer hardware
- GLLaucoMed: A Secure Large Language Model-Powered Agentic Workflow for Automated Medication Extraction from Free-Text Glaucoma Clinical Notes.
- A Scalable Workflow for Extracting Species Interactions From Ecological Literature Using Large Language Models
BibTeX
@misc{kang2026beyond,
title = {{Beyond Billing Codes: An Agentic Large Language Model Pipeline for Extracting Glaucoma Procedural Data from Free-Text Clinical Notes}},
author = {Janet Kang and Nicholas Solages and Gustavo A. Samico and Naomi E. Gutkind and Rafael Scherer and Felipe A. Medeiros and Swarup S. Swaminathan},
howpublished = {medRxiv},
year = {2026},
month = oct,
doi = {10.64898/2026.10.29.26366154},
url = {https://www.medrxiv.org/content/10.64898/2026.10.29.26366154v1},
}
RIS
TY - UNPB
TI - Beyond Billing Codes: An Agentic Large Language Model Pipeline for Extracting Glaucoma Procedural Data from Free-Text Clinical Notes
AU - Janet Kang
AU - Nicholas Solages
AU - Gustavo A. Samico
AU - Naomi E. Gutkind
AU - Rafael Scherer
AU - Felipe A. Medeiros
AU - Swarup S. Swaminathan
PY - 2026
DA - 2026/10/29
PB - medRxiv
DO - 10.64898/2026.10.29.26366154
UR - https://www.medrxiv.org/content/10.64898/2026.10.29.26366154v1
ER -