TL;DR
This issue's feature, "The Technology-Driven Paradigm Shift in Nursing: Ethics, Professional Responsibility, and Competency Transformation," shares four articles with readers, focusing on clinical decision support systems, AI-driven early-warning analysis, and human-centered care integration.
It is proposed that a goal of future nursing education and system design should be to enhance data literacy, ethical governance, and interdisciplinary collaboration concurrently to promote the sustainable development of predictive care within Taiwan's healthcare system.
Evidence indicates that clinical decision support systems can enhance consistency in care processes, improve nurse recognition of patient deterioration, and support prioritization and interprofessional communication, and AI-driven early warning analytics can leverage high-dimensional clinical data to detect patient det...
The "Sensing-Integration-Decision" framework is adopted to explore how sensing technologies expand the clinical observation capabilities of nurses and how clinical decision support systems facilitate the conversion of fragmented data into actionable care insights.
The literature indicates that digital technologies and artificial intelligence offer substantial opportunities to improve efficiency, accessibility, clinical decision-making, and care coordination, however, workforce shortages, burnout, administrative burden, digital competency gaps, ethical concerns, and changing prof...
Examination of key areas where IT impacts healthcare, including electronic health records, telemedicine, clinical decision support, wearable and remote monitoring devices, big data analytics, and artificial intelligence, concludes that while IT has led to measurable improvements in health outcomes and system efficiency...
This study introduces a comprehensive value framework tailored to artificial intelligence in healthcare, extending evaluation beyond narrow cost–outcome ratios and provides researchers with clear dimensions for developing indicators and evaluation tools for responsible AI use in health services.
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