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OMOP Extraction of Medical Text Using LLMs: Preliminary Results.

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Title: OMOP Extraction of Medical Text Using LLMs: Preliminary Results.
Authors: Ruhm L; Berlin Institute of Health (BIH), Charité Universitätsmedizin, Berlin, Germany., Purfürst L; Berlin Institute of Health (BIH), Charité Universitätsmedizin, Berlin, Germany., Ahmadi M; Berlin Institute of Health (BIH), Charité Universitätsmedizin, Berlin, Germany., Ehret J; Berlin Institute of Health (BIH), Charité Universitätsmedizin, Berlin, Germany., Rönnefarth M; Berlin Institute of Health (BIH), Charité Universitätsmedizin, Berlin, Germany., Meyer-Eschenbach F; Berlin Institute of Health (BIH), Charité Universitätsmedizin, Berlin, Germany.; Institute for Medical Informatics, Charité Universitätsmedizin, Berlin, Germany., Schönrath K; Berlin Institute of Health (BIH), Charité Universitätsmedizin, Berlin, Germany., Rudolph S; Berlin Institute of Health (BIH), Charité Universitätsmedizin, Berlin, Germany., Weber JE; Berlin Institute of Health (BIH), Charité Universitätsmedizin, Berlin, Germany., von Kalle C; Berlin Institute of Health (BIH), Charité Universitätsmedizin, Berlin, Germany.; Luxembourg Institute of Health (LIH), Luxembourg., Nothacker J; Berlin Institute of Health (BIH), Charité Universitätsmedizin, Berlin, Germany.
Corporate Authors: Belove Study Group
Source: Studies in health technology and informatics [Stud Health Technol Inform] 2026 May 21; Vol. 336, pp. 1068-1069.
Publication Type: Journal Article
Journal Info: Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform Subsets: MEDLINE
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