Poster Session 3.L - Health Sciences
Kudelák, Márk
Institute of Digital Health Sciences (SE EKK DEI)
Márk Kudelák1
1: Institute of Digital Health Sciences (SE EKK DEI)
Introduction:
The integration of artificial intelligence (AI) into medical education brings an inevitable paradigm shift. However, in the absence of an appropriate institutional and ethical framework, rapid technological adaptation poses serious data protection and quality assurance risks, which indirectly affect the safety of future patient care.
Aims:
The study aims to map the AI usage patterns of university citizens, identify the gap between the current regulatory environment and actual user practices, and determine institutional intervention points to mitigate risks.
Methods:
A mixed-methods approach was applied, which included a systematic review of the relevant legal and bioethical literature. Furthermore, a quantitative questionnaire survey was conducted among students, complemented by qualitative in-depth interviews with decision-makers and active users. The data were evaluated using thematic analysis.
Result:
The analysis indicates that the quality of education is not automatically improved by the mere availability of AI tools. It was found that high exposure to academic integrity and legal risks is currently caused by heterogeneous user practices and the lack of unified institutional protocols.
Conclusion:
To achieve a positive educational impact and minimize risks, the development of a transparent institutional framework and the introduction of targeted ethical education are essential in medical training.
Funding:
SUPPORTED BY THE 2025-2.1.1-EKÖP-2025-00014 UNIVERSITY RESEARCH SCHOLARSHIP PROGRAMME OF THE MINISTRY FOR CULTURE AND INNOVATION FROM THE SOURCE OF THE NATIONAL RESEARCH, DEVELOPMENT AND INNOVATION FUND.