Phase 1 Implementation of LLM-generated Discharge Summaries showing high Adoption in a Dutch Academic Hospital

# Phase 1 Implementation of LLM-generated Discharge Summaries showing high Adoption in a Dutch Academic Hospital
Source: [https://arxiv.org/abs/2604.19774](https://arxiv.org/abs/2604.19774)
[View PDF](https://arxiv.org/pdf/2604.19774)

> Abstract:Writing discharge summaries to transfer medical information is an important but time\-consuming process that can be assisted by Large Language Models \(LLMs\)\. This prospective mixed methods pilot study evaluated an Electronic Health Record \(EHR\)\-integrated LLM to generate discharge summaries drafts\. In total, 379 discharge summaries were generated in clinical practice by 21 residents and 4 physician assistants during 9 weeks in our academic hospital\. LLM\-generated text was copied in 58\.5% of admissions, and identifiable LLM content could be traced to 29\.1% of final discharge letters\. Notably, 86\.9% of users self\-reported a reduction in documentation time, and 60\.9% a reduction in administrative workload\. Intent to use after the pilot phase was high \(91\.3%\), supporting further implementation of this use\-case\. Accurately measuring the documentation time of users on discharge summaries remains challenging, but will be necessary for future extrinsic evaluation of LLM\-assisted documentation\.

## Submission history

From: Nettuno Nadalini \[[view email](https://arxiv.org/show-email/3099e276/2604.19774)\] **\[v1\]**Fri, 27 Mar 2026 16:21:33 UTC \(448 KB\)