{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T10:49:36Z","timestamp":1782989376840,"version":"3.54.5"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686684","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T00:00:00Z","timestamp":1782691200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,6,29]]},"abstract":"<jats:p>Introduction: Clinical text de-identification is essential for secondary healthcare data use but remains challenging due to heterogeneous documentation. Methods: We evaluated LLM-based de-identification of synthetic German discharge letters (GraSCCo) using four prompting strategies with GPT-4o and an additional GPT-OSS comparison. Performance was assessed via precision, recall, F1-score, false positives, and relative text reduction. Results: The baseline setup was not suitable due to excessive text loss. F1-scores reached 0.81 (session-isolated), 0.79 (structured-input), 0.93 (optimized prompt, GPT-4o), and 0.90 (GPT-OSS). Discussion: Results indicate that prompt refinement has a stronger impact on de-identification quality than structural preprocessing. LLM-based de-identification is feasible but requires careful prompt design and validation on real-world data.<\/jats:p>","DOI":"10.3233\/shti260789","type":"book-chapter","created":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T09:59:06Z","timestamp":1782986346000},"source":"Crossref","is-referenced-by-count":0,"title":["Evaluating Prompt Strategies for LLM-Based De-Identification of German Discharge Letters: A Feasibility Study Using GraSCCo"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-6105-0120","authenticated-orcid":false,"given":"Florin Dominik","family":"Teschner","sequence":"first","affiliation":[{"name":"Institute for Medical Informatics and Biometry, Faculty of Medicine Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hung Manh","family":"Nguyen","sequence":"additional","affiliation":[{"name":"Institute for Medical Informatics and Biometry, Faculty of Medicine Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Martin","family":"Sedlmayr","sequence":"additional","affiliation":[{"name":"Institute for Medical Informatics and Biometry, Faculty of Medicine Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1887-4772","authenticated-orcid":false,"given":"Markus","family":"Wolfien","sequence":"additional","affiliation":[{"name":"Institute for Medical Informatics and Biometry, Faculty of Medicine Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany"},{"name":"Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI), Dresden\/Leipzig, Dresden, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Health Sciences Informatics Leads and Empowers the Digital Health Transformation"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI260789","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T09:59:07Z","timestamp":1782986347000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI260789"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,29]]},"ISBN":["9781643686684"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti260789","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,6,29]]}}}