Generative Artificial Intelligence in Healthcare Education: Challenges and Ethical Issues

Introduction: The integration of Generative Artificial Intelligence (GAI) in education is revolutionizing teaching methods, particularly in the training of healthcare professionals by facilitating simulations of complex clinical cases. However, challenges arise, such as information inaccuracy, which can lead to biased decisions. Objectives and Method. This study examines Spanish universities' policies regarding GAI use and evaluates the accuracy of responses from ChatGPT 3.5 in simple tasks. Results. Findings indicate that while university policies promote clarity and transparency in GAI use, they lack mechanisms to ensure that students verify the accuracy of the responses. Conclusions. GAI has the potential to enhance training in healthcare professions, but it is essential to address ethical and social challenges to ensure it complements rather than replaces practical training and/or dehumanise the treatment of the person.