{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T09:49:52Z","timestamp":1747216192425,"version":"3.40.5"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"type":"electronic","value":"9781643685274"}],"license":[{"start":{"date-parts":[[2024,7,24]],"date-time":"2024-07-24T00:00:00Z","timestamp":1721779200000},"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":[[2024,7,24]]},"abstract":"<jats:p>This study investigated the performance of OpenAI\u2019s Chat Generative Pre-trained Transformer (ChatGPT) in responding to the EU*US eHealth Work Foundational Curriculum. This curriculum, a collaborative effort between European and U.S. institutions, provides an extensive framework for eHealth learning. The assessment involved 321 questions from the online Health Information Technology Competencies (HITCOMP) self-assessment quiz. Using GPT-3.5 model, the study presented each question three times to assess ChatGPT\u2019s consistency. Findings revealed an accuracy of 70.7%, indicating a reasonable grasp of eHealth topics, although performance was uneven across the 21 modules. These results underscore ChatGPT\u2019s potential in health information technology education and highlight the need for further model enhancements to fully encompass eHealth competencies.<\/jats:p>","DOI":"10.3233\/shti240255","type":"book-chapter","created":{"date-parts":[[2024,7,24]],"date-time":"2024-07-24T11:32:36Z","timestamp":1721820756000},"source":"Crossref","is-referenced-by-count":0,"title":["Evaluating ChatGPT\u2019s Performance in the EU*US eHealth Work Foundational Curriculum Using the HITCOMP Self-Assessment Quiz"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-7477-8551","authenticated-orcid":false,"given":"Chun-Wei","family":"Liu","sequence":"first","affiliation":[{"name":"Dept. of Nursing, Tzu Chi University of Science and Technology, Hualien, Taiwan"},{"name":"Medical Intensive Care Unit, Mennonite Christian Hospital, Hualien, Taiwan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7994-0617","authenticated-orcid":false,"given":"Zu-Chun","family":"Lin","sequence":"additional","affiliation":[{"name":"Dept. of Nursing, Tzu Chi University of Science and Technology, Hualien, Taiwan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9242-9167","authenticated-orcid":false,"given":"Malcolm","family":"Koo","sequence":"additional","affiliation":[{"name":"Dept. of Nursing, Tzu Chi University of Science and Technology, Hualien, Taiwan"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Innovation in Applied Nursing Informatics"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI240255","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,24]],"date-time":"2024-07-24T11:32:37Z","timestamp":1721820757000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI240255"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,24]]},"ISBN":["9781643685274"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti240255","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"type":"print","value":"0926-9630"},{"type":"electronic","value":"1879-8365"}],"subject":[],"published":{"date-parts":[[2024,7,24]]}}}