{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,10]],"date-time":"2025-04-10T19:52:39Z","timestamp":1744314759828},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643685168","type":"print"},{"value":"9781643685175","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,4,26]],"date-time":"2024-04-26T00:00:00Z","timestamp":1714089600000},"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":[[2024,4,26]]},"abstract":"<jats:p>The integration of Artificial Intelligence (AI) into digital healthcare, particularly in the anonymisation and processing of health information, holds considerable potential. Objectives: To develop a methodology using Generative Pre-trained Transformer (GPT) models to preserve the essence of medical advice in doctors\u2019 responses, while editing them for use in scientific studies. Methods: German and English responses from EXABO, a rare respiratory disease platform, were processed using iterative refinement and other prompt engineering techniques, with a focus on removing identifiable and irrelevant content. Results: Of 40 responses tested, 31 were accurately modified according to the developed guidelines. Challenges included misclassification and incomplete removal, with incremental prompting proving more accurate than combined prompting. Conclusion: GPT-4 models show promise in medical response editing, but face challenges in accuracy and consistency. Precision in prompt engineering is essential in medical contexts to minimise bias and retain relevant information.<\/jats:p>","DOI":"10.3233\/shti240019","type":"book-chapter","created":{"date-parts":[[2024,4,29]],"date-time":"2024-04-29T09:41:15Z","timestamp":1714383675000},"source":"Crossref","is-referenced-by-count":1,"title":["Editing Physicians\u2019 Responses Using GPT-4 for Academic Research"],"prefix":"10.3233","author":[{"given":"Magdalena T.","family":"Weber","sequence":"first","affiliation":[{"name":"Institute of Medical Informatics, Goethe University Frankfurt, University Hospital Frankfurt, Frankfurt, Germany"}]},{"given":"Jannik","family":"Schaaf","sequence":"additional","affiliation":[{"name":"Institute of Medical Informatics, Goethe University Frankfurt, University Hospital Frankfurt, Frankfurt, Germany"}]},{"given":"Holger","family":"Storf","sequence":"additional","affiliation":[{"name":"Institute of Medical Informatics, Goethe University Frankfurt, University Hospital Frankfurt, Frankfurt, Germany"}]},{"given":"Thomas O.F.","family":"Wagner","sequence":"additional","affiliation":[{"name":"European Reference Network for Rare Respiratory Diseases (ERN-LUNG), University Hospital Frankfurt, Frankfurt, Germany"}]},{"given":"Alexandra","family":"Berger","sequence":"additional","affiliation":[{"name":"Reference Center for Rare Diseases (FRZSE), University Hospital Frankfurt, Frankfurt, Germany"}]},{"given":"Richard","family":"Noll","sequence":"additional","affiliation":[{"name":"Institute of Medical Informatics, Goethe University Frankfurt, University Hospital Frankfurt, Frankfurt, Germany"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","dHealth 2024"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI240019","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,29]],"date-time":"2024-04-29T09:41:16Z","timestamp":1714383676000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI240019"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4,26]]},"ISBN":["9781643685168","9781643685175"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti240019","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,4,26]]}}}