This paper is in the following e-collection/theme issue:

AI Language Models in Health Care (119) Clinical Informatics (1184) Advanced Data Analytics in eHealth (171) Big Data (287) Case Study (33) Electronic Health Records (1208) Machine Learning (1802) Natural Language Processing (821) New Technologies (98) Open Source Software (5)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59617, first published .
Viability of Open Large Language Models for Clinical Documentation in German Health Care: Real-World Model Evaluation Study

Viability of Open Large Language Models for Clinical Documentation in German Health Care: Real-World Model Evaluation Study

Viability of Open Large Language Models for Clinical Documentation in German Health Care: Real-World Model Evaluation Study

Authors of this article:

Felix Heilmeyer1 Author Orcid Image ;   Daniel Böhringer2 Author Orcid Image ;   Thomas Reinhard2 Author Orcid Image ;   Sebastian Arens2 Author Orcid Image ;   Lisa Lyssenko1 Author Orcid Image ;   Christian Haverkamp1 Author Orcid Image
Article Authors Cited by (9) Tweetations (2) Metrics

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  5. Lin C, Kuo C. Roles and Potential of Large Language Models in Healthcare: A Comprehensive Review. Biomedical Journal 2025:100868 View
  6. Ganzinger M, Kunz N, Fuchs P, Lyu C, Loos M, Dugas M, Pausch T. Automated generation of discharge summaries: leveraging large language models with clinical data. Scientific Reports 2025;15(1) View
  7. Hahn U. Clinical document corpora—real ones, translated and synthetic substitutes, and assorted domain proxies: a survey of diversity in corpus design, with focus on German text data. JAMIA Open 2025;8(3) View
  8. Moser D, Bender M, Sariyar M. A Pipeline for Automating Emergency Medicine Documentation Using LLMs with Retrieval-Augmented Text Generation. Applied Artificial Intelligence 2025;39(1) View
  9. Tschochohei M, Adams L, Bressem K, Lammert J. KI-gestützte klinische Entscheidungsunterstützungssysteme: Herausforderungen und Potenziale. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2025 View