Akademik Veri Yönetim Sistemi
5th International Asklepios Congress on Medicine, Nursing, Midwifery, and Health Sciences, Priştine, Kosova, 18 - 20 Mayıs 2025, cilt.1, ss.348-349, (Özet Bildiri)
Information technologies are used frequently in most of our lives and
various areas. Unlike machine learning, deep learning, and artificial
intelligence models that process and analyze presented data, generative
artificial intelligence has become a tremendous resource for creating
personalized new content. This technology stands out as a pioneer of change in
nursing practices and significantly contributes to schools and the field,
especially as a learning tool. However, the groundbreaking changes that may occur
in human interaction and technology require carefully structured sociotechnical
systems centered around the human. When focusing on nursing education as a
field of application for generative artificial intelligence, the accuracy of
the information provided must be ensured. If incomplete data are used, it may
lead to biased or incorrect decisions. Suppose healthcare providers trust all
the answers from generative artificial intelligence without question and
therefore cannot think critically. In that case, it becomes quite possible for
them to accept potentially incorrect responses. This raises concerns that
healthcare professionals guided by generative artificial intelligence may face
legal, medical, and ethical problems. Misinformation may lead to inaccurate
diagnoses and practices that could harm patients. Therefore, it is essential to
ensure that generative artificial intelligence applications are accurate,
well-designed, and reliable. Introducing generative artificial intelligence as
a learning tool in a field related to human health should begin with
encouraging nurses and nursing students to think critically about the broader
societal, ethical, legal, and moral issues associated with its integration into
nursing practices. How the use of generative artificial intelligence in nursing
education and practice can be integrated into healthcare delivery in the field,
and how all healthcare professionals can use this technology appropriately and
accurately, remains uncertain. Despite the predicted benefits of generative
artificial intelligence in healthcare delivery, its impact is still unclear.
Human supervision over generative artificial intelligence is an indispensable
prerequisite for safe and ethical use. For this type of technology to be used
safely in the nursing field, it is first necessary to ensure that the digital
literacy levels of nurses are improved.