Can open source large language models be used for tumor documentation in Germany?-An evaluation on urological doctors' notes.

ABSTRACT:

Background

Tumor documentation in Germany is currently a largely manual process. It involves reading the textual patient documentation and filling in forms in dedicated databases to obtain structured data. Advances in information extraction techniques that build on large language models (LLMs) could have the potential for enhancing the efficiency and reliability of this process. Evaluating LLMs in the German medical domain, especially their ability to interpret specialized language, is essential to determine their suitability for the use in clinical documentation. Due to data protection regulations, only locally deployed open source LLMs are generally suitable for this application.

Methods

The evaluation employs eleven different open source LLMs with sizes ranging from 1 to

SUBMITTER: Lenz S 

PROVIDER: S-EPMC12291363 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature