Medical Summarization in Practice: Design, Deployment, and Analysis of a Clinical Summarization System for a German Hospital
Year: 2026
Type: conference-paper
Abstract: Over the course of hospital treatment, a large number of electronic health records (EHRs) are created for a patient, detailing aspects of care history such as lab results, physician notes, and treatments administered.At the conclusion of treatment, this collection of EHRs must be summarized into a discharge summary, describing the course of care clearly and cohesively.In this paper, we present the design and development of a clinical summarization system integrated into a live German hospital workflow to help with the generation of discharge summaries.We first describe the system, its components, and its context of use within a hospital, before performing a number of experiments to gain insights into how best to use and evaluate our system.We investigate summarization performance across multiple input encoding strategies, compare expert judgments against automatic evaluation of summaries, and analyze the consistency of model summaries across multiple text generations.This work not only serves as a case study to demonstrate the feasibility of LLM integration into healthcare infrastructure, but also provides actionable insights into the use and evaluation of such systems.
Authors: Moiz Rauf, Sean Papay
Institution: University of Bamberg
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7140115563