Artificial Intelligence Applications in Community and Home Nursing Care: A Systematic Literature Review

Abstract

Healthcare systems experience increasing demand for community and home nursing services due to population aging, the rising prevalence of chronic diseases, and limited hospital resources. Artificial intelligence (AI) represents a supportive technology with the potential to enhance nursing practice in decentralized care environments. This systematic literature review synthesizes recent evidence on the use of AI in community and home nursing care. The review follows the PRISMA 2020 guideline and analyzes fifteen peer-reviewed studies published between 2022 and 2025. The analysis indicates that machine learning-based predictive analytics and clinical decision support systems represent the most frequently implemented technologies. These AI applications support several nursing functions, including risk prediction, remote patient monitoring, chronic disease management, and workflow optimization within community-based care settings. The reviewed studies report several positive outcomes. AI-supported systems improve clinical vigilance, strengthen care coordination, and increase operational efficiency in community and home care services. At the same time, several implementation barriers remain evident. Healthcare organizations face challenges related to infrastructure readiness, limited digital literacy among healthcare personnel, ethical governance concerns, and potential data privacy risks. AI functions as an augmentative tool that supports professional nursing judgment rather than replacing clinical expertise. Sustainable integration of AI in community and home nursing care requires adequate digital competence among healthcare professionals, regulatory alignment across healthcare systems, and implementation strategies that prioritize human-centered care delivery.