Technology Integration in Nursing Science

Abstract

Background: Nursing science, traditionally grounded in compassionate and holistic care, is undergoing a transformative shift through technology integration. Advances in electronic health records (EHRs), artificial intelligence (AI), robotics, telehealth, and simulation-based education have redefined clinical practice, education, and research. This evolution addresses critical gaps in traditional nursing practice, such as fragmented communication, manual documentation errors, and delayed clinical decision-making. Methodology: This review critically examined literature, historical developments, and current applications of technology in nursing, synthesizing evidence across clinical, educational, and research domains. The analysis focused on technological tools, implementation challenges, and their impact on patient care, professional development, and system efficiency. Results: Findings indicate that technology enhances patient safety, improves workflow efficiency, supports predictive analytics, and strengthens nursing education through simulation and immersive learning. AI and wearable devices enable personalized and proactive care, while telehealth expands access in underserved populations. However, barriers such as high costs, digital literacy gaps, workflow disruptions, resistance to change, and cybersecurity concerns persist. Ethical implications—especially regarding AI and patient data—remain central to responsible integration. Conclusion: Technology integration has become indispensable in nursing science, enabling precision, efficiency, and global connectivity while preserving nursing’s foundational values of compassion and advocacy. Overcoming financial, infrastructural, and ethical challenges will require sustained leadership, inclusive training, and robust policy frameworks. Future directions point toward precision nursing, AI-driven care, robotics, and smart hospital ecosystems, ensuring equitable access and advancing nursing science worldwide.