A Large Language Model Assistant for Summarizing Hepatology Referral Documents

The use of an LLM led to significantly reduced document length, maintained an appropriate level of accuracy, and led to a significant decrease in clinician time to review the patient record. Future steps involve creating a fully automated workflow that is integrated into the electronic health record for widespread use.

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Publication Details

Journal
The American Journal of Gastroenterology
Published
2026-01-08
DOI
https://doi.org/10.14309/ajg.0000000000003905
Primary Topic
Healthcare Systems and Technology
Type
article
Field-Weighted Citation Impact
0.00
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article

A Large Language Model Assistant for Summarizing Hepatology Referral Documents

Anubhav Shankar, Hersh Shroff, Lindsay Yoxheimer, Oren K. Fix et al.
The American Journal of Gastroenterology
Healthcare Systems and Technology
article

A Large Language Model Assistant for Summarizing Hepatology Referral Documents

Anubhav Shankar, Hersh Shroff, Lindsay Yoxheimer, Oren K. Fix, Alison Baron
article en

Abstract

The use of an LLM led to significantly reduced document length, maintained an appropriate level of accuracy, and led to a significant decrease in clinician time to review the patient record. Future steps involve creating a fully automated workflow that is integrated into the electronic health record for widespread use.

The American Journal of Gastroenterology
University of North Carolina at Chapel Hill (US)
Openalex Percentile: Top 93%
Healthcare Systems and Technology
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