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AI (Artificial Intelligence) in Nursing

International Journal of Advance Research in Nursing · 2024 · Vol. 7(1) · pp. 82–85

Abstract

AI in healthcare is a technology that enhances the quality, efficiency, and accessibility of healthcare services. It can assist in tasks such as diagnosis, treatment, prevention, research, and data management. Examples of AI applications include computer vision for medical imaging analysis, natural language processing for clinical documentation, machine learning for predictive analytics, and robotics for surgery and rehabilitation. AI has numerous applications in nursing, where it can analyze large amounts of data, suggest best interventions, enhance quality and safety of care, facilitate learning and development, improve efficiency and productivity, and enhance nurses' satisfaction and well-being. However, AI also poses challenges and ethical issues, such as privacy, security, accountability, transparency, trust, and human dignity. Nurses must be aware of these challenges and be involved in the design, development, evaluation, and regulation of AI systems to ensure they align with nursing values and standards.

Artificial Intelligence in Healthcare and EducationArtificial intelligencePsychologyNursingComputer scienceMedicine
Citations
4
FWCI
0.48
field-weighted impact
References
2
Percentile
67%
vs. same field & year
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