Abstract
This study investigated the performance of OpenAI's 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's 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's potential in health information technology education and highlight the need for further model enhancements to fully encompass eHealth competencies.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
