Artificial Intelligence in Transforming Nursing

Abstract

Artificial intelligence is a group of technologies that are now in use. The majority of these connected technologies are immediately applicable to the healthcare profession, although the precise procedures and tasks they support in their implementation vary greatly. AI is gradually becoming more adept at performing tasks that humans do, but in a more efficient, timely, and cost-effective manner. AI in healthcare has grown in popularity across a number of industries and has enormous potential to improve patient engagement, optimize clinical operations, and increase diagnostic accuracy. Additionally, AI might speed up research cycles and encourage teamwork in academic writing, both of which would significantly advance the discipline. However, there are drawbacks to this paradigm change, including worries about the loss of human interaction in patient care, moral conundrums including algorithmic bias and data privacy, and the possibility of becoming overly dependent on AI systems. But there are drawbacks and moral dilemmas with AI as well, including those involving privacy, security, accountability, openness, trust, and human dignity. To guarantee that AI systems are in line with nursing standards and values, nurses must be aware of these issues and participate in their design, development, assessment, and regulation. A balanced strategy that prioritizes patient-centered care and adheres to ethical norms is needed to address these issues. Our healthcare ecosystem is becoming more and more reliant on robotics and artificial intelligence. The use of technology encourages proactive maintenance of a healthy lifestyle and enhances the healthier behaviour of the next generation.