Implementing Local Open-Source LLMs for Chatbot-Based Document Retrieval in a University Hospital
Introduction: The integration of large language models (LLMs) into healthcare, with its strict data protection and security requirements, poses particular challenges, which is why powerful proprietary models such as ChatGPT are not suitable, even if they are increasingly being used informally. To close [for full text, please go to the a.m. URL]
Authors
- Fabian Berns (ORCID: https://orcid.org/0000-0002-7033-3789)
- Christoph Demus (ORCID: https://orcid.org/0000-0003-4319-3175)
- Jan Christoph (ORCID: https://orcid.org/0000-0003-4369-3591)
- Christian Jäger (ORCID: https://orcid.org/0000-0002-2740-8386)
- Jan Bossenz (ORCID: https://orcid.org/0009-0001-7946-8559)
- Annemarie Bianka Weise (ORCID: https://orcid.org/0009-0003-6925-5941)
- Carlo Günzl
- Jan Kirchhoff
- Thomas Weber
Institutions
- University Hospital in Halle (DE)
- Martin Luther University Halle-Wittenberg (DE)
Publication Details
- Journal
- German Medical Science (German Research Foundation)
- Published
- 2026-04-01
- DOI
- https://doi.org/10.3205/25gmds197
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00