Guluzade, AynurAynurGuluzadeHeiba, NaguibNaguibHeibaBoukhers, ZeydZeydBoukhersHamiti, FlorimFlorimHamitiPolash, Jahid HasanJahid HasanPolashMohamad, YehyaYehyaMohamadVelasco Nunez, CarlosCarlosVelasco Nunez2025-07-222025-07-222025-06-22https://publica.fraunhofer.de/handle/publica/48983210.1007/978-3-031-95841-0_34Europe’s healthcare must improve interoperability and embrace solutions to unlock the value of legacy clinical data. We used LLMs to transform unstructured clinical reports into structured records. We built a complete workflow, including a UI, and benchmarked various LLM sizes through both prompt engineering and fine-tuning. Our fine-tuned smaller models matched or even surpassed the larger ones, making them ideal for settings with limited computational resources. Finally, we validated a novel dataset of annotated English and German translations of clinical summaries using automated metrics alongside expert manual review.enLLMClinical DataInformation ExtractionFine-tuningClinical Reportconference paper