ReviewAnnals of biomedical engineering2025
ChatGPT in Nursing: Applications, Advantages, and Challenges in Education, Research, and Clinical Practice.
Review in Annals of biomedical engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The incorporation of AI-supported language models into the healthcare sector holds significant potential to revolutionize nursing education, research, and clinical practice. Within this framework, ChatGPT has emerged as a valuable tool for personalizing educational materials, enhancing academic productivity, expediting clinical decision-making processes, and optimizing research efficiency. In the realm of nursing education, ChatGPT offers numerous advantages, including the preparation of course content, facilitation of student assessments, and the development of simulation-based learning environments. Furthermore, it enhances pedagogical effectiveness through its ability to engage with students in real time and provide tailored learning experiences. In research processes, it supports researchers in tasks such as literature review, data analysis, and preparation of ethical documents; it also facilitates labor-intensive processes such as thematic coding, especially in qualitative analysis. In clinical applications, it can be used to prepare patient information materials, create care plans, and strengthen nurse-patient communication. However, ChatGPT has limitations, such as information reliability, ethical appropriateness, lack of empathy, and the risk of users developing over-reliance. Therefore, a careful, critical, and ethical approach should be adopted for the integration of ChatGPT into the nursing discipline. In conclusion, ChatGPT offers significant opportunities to enhance nursing education, research, and practice, yet it should not substitute for professional judgment or human compassion. Its application must be steered by ethical standards and a critical mindset. Incorporating AI literacy into nursing curricula and establishing clear guidelines for its use can ensure its effective and responsible implementation while maintaining the profession's humanistic essence.
Indexed as
Identifiers
40924308What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.