Pediatric Nursing in the Smart Era: Integrating Artificial Intelligence and Family-Centered Care

Introduction: Pediatric nursing is undergoing a transformative shift, as artificial intelligence (AI) technologies are increasingly integrated into clinical care. These advancements hold great promise for improving diagnostic accuracy, continuous patient monitoring, and the personalization of care. Nonetheless, the foundational principle of family-centered care remains vital to address the emotional and relational dimensions of care delivery. This article explores how AI innovations can harmonize with family-centered nursing practices to enhance health outcomes and the overall quality of pediatric care by blending technological innovation with compassionate caregiving. Method: A narrative review was conducted to explore the integration of AI in pediatric nursing alongside family-centered care approaches. A comprehensive search was performed in five major databases-SID, PubMed, Scopus, Web of Science, and the Cochrane Library-covering all available literature up to ۲۰۲۵. The search included keywords such as "Artificial Intelligence," "Family-Centered Care," "Pediatric Nursing," and "Digital Health." Initially, ۴۱۲ articles were identified. After screening titles and abstracts based on inclusion criteria-studies involving AI applications in pediatric nursing and family-centered care-and applying exclusion criteria such as non- English or Persian language and lack of full text access, ۶۷ relevant articles were retained for full-text review. Finally, ۳۸ studies met the criteria for in-depth analysis. The selected studies were examined for the types of AI technologies used, approaches to family involvement, clinical applications, and reported outcomes. Data extraction focused on study design, population, intervention details, and impact on care processes and patient outcomes. This methodical approach ensured a thorough understanding of emerging trends and best practices at the intersection of AI and family-centered pediatric nursing. Results: The review demonstrated that the use of AI significantly enhances clinical decision-making through predictive algorithms and real-time monitoring devices, leading to earlier detection and more effective management of pediatric conditions. AI tools facilitate seamless data sharing and communication between healthcare teams and families, fostering a collaborative care environment. Crucially, sustaining family-centered care principles alongside AI integration helps preserve emotional support and shared decision-making. The combined approaches yield improved health outcomes, greater family satisfaction, and more streamlined pediatric healthcare delivery. Conclusion: Integrating AI into pediatric nursing presents remarkable opportunities to personalize and optimize care, utilizing predictive analytics and continuous monitoring without compromising the compassionate core of family-centered care. This fusion creates a future-ready model of pediatric nursing that champions both technological innovation and human connection to better support children and their families across diverse healthcare settings.

کلیدواژه ها:

Artificial Intelligence ، Family-Centered Care ، Pediatric Nursing ، Digital Health