A comprehensive review of the applications of artificial intelligence in improving the quality of pediatric nursing care

سال انتشار: 1404
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 119

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شناسه ملی سند علمی:

AIMS02_295

تاریخ نمایه سازی: 29 تیر 1404

چکیده مقاله:

Background and Aims: As one of the leading technologies in the last decade, artificial intelligence (AI) has been able to play an important role in the transformation of the health field, especially nursing care. This article comprehensively and systematically reviews the applications of artificial intelligence in improving the quality of pediatric nursing care and evaluates its potential effects on improving clinical outcomes, increasing efficiency, and patient satisfaction. Methods: A review was performed independently by two people based on the PICO criteria and aligned to the research objective and based on the PRISMA checklist and using PubMed, CINAHL, Medline, Web of Science, SID databases Google Scholar search engine, and Boolean operators. The time limit between ۲۰۱۸ and ۲۰۲۴ was determined using the MESH keywords “Artificial Intelligence”, “machine learning”, “nursing care” and “children”. After checking the entry and exit criteria and critically evaluating the quality of the selected articles, a total of ۸ articles were included in the study. Results: The analysis showed that AI can significantly improve diagnostic accuracy, personalize treatments, and improve continuous monitoring of pediatric patients. AI tools such as machine learning and natural language processing have been able to accelerate nursing processes and reduce human errors. However, challenges such as ethical issues, the need for strict regulation, and specialized training of nurses for the effective use of these technologies were also identified. Conclusion: This comprehensive review demonstrates that AI has significant potential to improve the quality of pediatric nursing care. Intelligent use of AI can lead to improved clinical outcomes and increased efficiency of health systems. However, further research is needed to address existing challenges and establish an appropriate ethical and practical framework. These results could pave the way for the development of new strategies in the education and application of AI in pediatric nursing.

کلیدواژه ها:

نویسندگان

Yasamin Ahmadi

Student Research and Technology Committee, Behbahan Faculty of Medical Sciences, Behbahan, Iran

Amir Mohammad Chekeni

Nursing student, Nursing and Midwifery School, Student Research Committee, Tehran University of Medical Sciences, Tehran, Iran

Zahra Darabi

Student Research Committee, Ilam University of Medical Sciences, Ilam, Iran