{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,12]],"date-time":"2026-09-12T03:11:53Z","timestamp":1789182713772,"version":"build-2803163510"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643685960","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,5,15]],"date-time":"2025-05-15T00:00:00Z","timestamp":1747267200000},"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":[[2025,5,15]]},"abstract":"<jats:p>This study investigates large language models for delirium detection from nursing reports, comparing keyword matching, prompting, and finetuning. Using a manually labelled dataset from the University Hospital Freiburg, Germany, we tested Llama3 and Phi3 models. Both prompting and finetuning were effective, with finetuning Phi3 (3.8B) achieving the highest accuracy (90.24%) and AUROC (96.07%), significantly outperforming other methods.<\/jats:p>","DOI":"10.3233\/shti250492","type":"book-chapter","created":{"date-parts":[[2025,5,16]],"date-time":"2025-05-16T08:58:25Z","timestamp":1747385905000},"source":"Crossref","is-referenced-by-count":3,"title":["Delirium Identification from Nursing Reports Using Large Language Models"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-3623-1480","authenticated-orcid":false,"given":"Lisa","family":"Graf","sequence":"first","affiliation":[{"name":"Neurorobotics Lab, Department of Computer Science \u2013 University of Freiburg, Germany"},{"name":"Department of Neurology, Medical Center \u2013 University of Freiburg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-6502-4118","authenticated-orcid":false,"given":"Alexander","family":"Ritzi","sequence":"additional","affiliation":[{"name":"Center of Implementing Nursing Care Innovations Freiburg, Medical Center \u2013 University of Freiburg, Germany"},{"name":"Centre for Geriatric Medicine and Gerontology (ZGGF), Medical Center \u2013 University of Freiburg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6850-3179","authenticated-orcid":false,"given":"Lili M.","family":"Schoeler","sequence":"additional","affiliation":[{"name":"Center of Implementing Nursing Care Innovations Freiburg, Medical Center \u2013 University of Freiburg, Germany"},{"name":"Department of Nursing Science, University of Turku, Finland"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Intelligent Health Systems \u2013 From Technology to Data and Knowledge"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI250492","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,16]],"date-time":"2025-05-16T08:58:25Z","timestamp":1747385905000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI250492"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,15]]},"ISBN":["9781643685960"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti250492","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,5,15]]}}}