Dear Ahmed Ragab Ali Abdelghany ,

As nursing continues to face an uncontrolled staffing crisis, nursing education must ensure that graduates have the skills necessary to provide quality patient care. However, integrating artificial intelligence (AI) tools in nursing education may harm patient outcomes and the nursing profession.

https://www.linkedin.com/pulse/ai-tools-nursing-education-potential-threat-patient-tonika/

Regards,

Shafagat

Dear Ahmed Ragab Ali Abdelghany,

Introduction:

The rapid advancements in artificial intelligence (AI) have sparked discussions about the transformative potential of these technologies in healthcare. With AI applications such as machine learning, natural language processing, and computer vision making strides in the medical field, there is a growing interest in integrating these tools into nursing education. This inquiry delves into the prospects of incorporating AI concepts into nursing curricula, exploring the current efforts, ethical considerations, feasibility, and the potential future implications of such integration.

1. When will nursing education incorporate AI tools?

• The timeline for integrating AI tools into nursing education is a key consideration. This section will explore ongoing efforts and initiatives to introduce AI concepts into nursing curricula, highlighting any institutions or programs already taking steps in this direction. Additionally, it will delve into the potential benefits and challenges associated with teaching AI in nursing.

2. Permissibility and Ethical Considerations:

• Legal and regulatory aspects play a crucial role in determining the permissibility of integrating AI into nursing education. This section will investigate any barriers or regulations that may hinder AI integration. Ethical considerations surrounding the use of AI tools in nursing practice will be discussed, exploring potential risks and limitations associated with relying on these technologies for patient care.

3. Feasibility and Implementation:

• Implementing AI concepts in nursing education requires careful consideration of resources, infrastructure, and faculty readiness. This section will address the resources and infrastructure needed for teaching AI in nursing programs, potential limitations in faculty expertise, and strategies for effective integration into existing curricula.

4. Future Implications:

• Looking ahead, the impact of AI integration on nursing practice and patient outcomes is a critical aspect to explore. This section will discuss how AI tools might enhance the efficiency and accuracy of healthcare delivery. Additionally, it will consider the potential roles of nurses in leveraging AI technologies across various healthcare settings.

Through a comprehensive exploration of these key areas, this inquiry aims to shed light on the trajectory of AI integration in nursing education, examining both the opportunities and challenges that lie ahead. As the healthcare landscape continues to evolve, understanding the role of AI in nursing education becomes increasingly important for preparing future healthcare professionals to navigate the complexities of modern healthcare delivery.