[Technology-Driven, Human-Centered Care: Challenges and Opportunities].

Rising costs, power shortages, and gaps in service accessibility and care quality rank among the most pressing challenges currently facing the global healthcare system. While artificial intelligence (AI)-based tools are being increasingly used in continuous patient monitoring to facilitate the timely identification of changes in patient condition and the delivery of proactive healthcare, AI applications face challenges related to data privacy, algorithmic bias, model interpretability, and ethics (Fahim et al., 2025). This issue's feature, "The Technology-Driven Paradigm Shift in Nursing: Ethics, Professional Responsibility, and Competency Transformation," shares four articles with readers. The first focuses on clinical decision support systems, AI-driven early-warning analysis, and human-centered care integration. In the second, the authors explore how sensing technologies may be used to expand the clinical observation capabilities of nurses as well as the related care ethics implications. The final two articles discuss proactive and predictive care initiation and trends, proposing future nursing education and system designs should simultaneously strengthen data literacy, ethical governance, and interdisciplinary collaboration and providing new insights and directions for technology-facilitated nursing professional competence development. The human-centered approach at the heart of the nursing profession emphasizes the needs, feelings, and interactive experiences of individuals. Human-centered care not only focuses on the patient but also values the holistic, systemic relationship among family members, healthcare professionals, technology, and the care environment. The aim of the participatory and systematic-design framework underpinning this care approach is to improve healthcare service quality. While technology can make nursing faster and more convenient, healthcare professionals remain critical to imbuing the nursing process with meaning, empathy, and interpersonal connections. Therefore, the core value of "technology-driven" should be enhancing care capabilities and quality rather than replacing professionals. The emphasis of AI development in the realm of healthcare must be on user participation, trust building, ethical safety, and human-machine collaboration to clearly demonstrate the importance and future opportunities of human-centered care empowered by technology (Bevilacqua et al., 2025; Sadeghigolafshani et al., 2026).