IP Journal of Paediatrics and Nursing Science
Official Publication of Khyati Education And Research Foundation
Official Publication of Khyati Education And Research Foundation
The integration of artificial intelligence (AI) is becoming more widespread in a number of industries, including nursing education and healthcare. This abstract examines the use of artificial intelligence (AI) in nursing education, stressing its significance, present applications, and possible advantages as well as drawbacks. The process of integrating AI concepts, technology, and applications into nursing curricula is known as AI integration in nurse education. It attempts to improve nursing students' capacity to deliver safe and effective patient care by preparing them for the changing healthcare environment and giving them the fundamental AI-related skills they need. AI is being used in nurse education in a number of ways, including the incorporation of AI driven clinical decision support systems, the use of AI based simulations and virtual patients ,and the investigation of AI ethics and responsible AI use . AI is being used in nurse education in a number of ways, including the incorporation of AI driven clinical decision support systems, the use of AI based simulations and virtual patients,and the investigation of AI ethics and responsible AI use . This review article provides a comprehensive and up-to-date overview of the current state of AI in clinical practice, including its potential applications in disease diagnosis, treatment recommendations, and patient engagement. It also discusses the associated challenges, covering ethical and legal considerations and the need for human expertise. This methods gives students the chance to practice critical thinking, making decisions,and analyzing data in the context of artificial intelligence in healthcare Objectives To enhances understanding of AI’s significance in Nursing Education To explore the impact of applying AI in nursing Education . To promote AI usage in Nursing Institutions. The current investigation analyzed the use of AI in the healthcare system with a comprehensive review of relevant indexed literature, such as PubMed/Medline, Scopus, and EMBASE, with no time constraints but limited to articles published in English. TEducation and the potential outcomes of this application. These include ethical concerns related to data privacy, algorithm transparency, and potential biases in AI algorithms. It is essential to address these challenges and ensure responsible use of AI in nursing education. To overcome the risks and challenges associated with teaching AI in nurse education, strategies such as comprehensive curriculum design, faculty development and training, hands-on practical experiences, collaboration with industry experts, and continuous learning and adaptation are crucial. The literature on AI in nursing education provides valuable insights into the current state of research, examples of AI integration in nursing curricula, and the impact on student outcomes. Integrating AI into healthcare holds excellent potential for improving disease diagnosis, treatment selection, and clinical laboratory testing. AI tools can leverage large datasets and identify patterns to surpass human performance in several healthcare aspects. AI offers increased accuracy, reduced costs, and time savings while minimizing human errors. It can revolutionize personalized medicine, optimize medication dosages, enhance population health management, establish guidelines, provide virtual health assistants, support mental health care, improve patient education, and influence nurse patient rapport and trust. Integrating AI into education sector holds excellent potential for improving disease diagnosis and its knowledge , treatment selection, and clinical laboratory testing. AI tools can leverage large datasets and identify patterns to surpass human performance in several healthcare aspects. AI offers increased accuracy, reduced costs, and time savings while minimizing human errors. It can revolutionize personalized medicine, optimize medication dosages, enhance population health management, establish guidelines, provide virtual health assistants, support mental health care, improve patient education, and influence patient-physician trust. Scholars have investigated a range of subjects, including virtual simulations, faculty viewpoints, student perceptions, AI competencies, and ethical issues for incorporating AI into nursing education. Academic journals, conferences, professional societies, publications, online databases, institutional websites, government papers, and reliable internet resources are good places to find out about AI in nursing education. In conclusion, the field of integrating AI into nursing education is new and has potential for improving nursing education and educating future nurses for healthcare driven by AI. Scholars have investigated a range of subjects, including virtual simulations, faculty viewpoints, student perceptions, AI competencies, and ethical issues for incorporating AI into nursing education. Academic journals, conferences, professional societies, publications, internet databases, institutional websites, government papers, and other sources are good places to find out about AI in nursing education. AI can be used to diagnose diseases, develop personalized treatment plans, and assist clinicians with decision-making. Rather than simply automating tasks, AI is about developing technologies that can enhance patient care across healthcare settings. However, challenges related to data privacy, bias, and the need for human expertise must be addressed for the responsible and effective implementation of AI in healthcare. By addressing the challenges, promoting responsible AI use, and leveraging the benefits of AI, nurse educators can create a supportive and informed learning environment that equips nurses with the skills and knowledge necessary for the future of healthcare.
Artificialintelligence ,Nursing,Education ,Curriculum ,Knowledge ,Learning