Integration of Digital Health and Artificial Intelligence in Nursing: A Systematic Review of Current Evidence

Abstract

Digital health and Artificial Intelligence (AI) are increasingly transforming healthcare delivery, with a profound impact on the nursing profession. The adoption of AI-driven technologies in nursing practice has strengthened clinical decision-making, improved patient monitoring, and enhanced overall healthcare efficiency. This review synthesizes current evidence on the role of digital health and AI in nursing, highlighting key applications, benefits, challenges, and future directions. Existing literature demonstrates that AI plays a crucial role in improving patient outcomes, minimizing workload, and optimizing operational processes within healthcare systems. By enabling data-driven insights and automation of routine tasks, AI supports more effective and timely care delivery. Despite these advantages, several challenges must be addressed to ensure safe and effective implementation. Ethical concerns, data privacy and security issues, and the need for adequate training and digital competencies among nurses remain significant barriers. Therefore, the integration of AI into nursing practice should be approached thoughtfully, ensuring that technological advancements complement rather than replace the humanistic and compassionate nature of nursing care.