Artificial intelligence in nursing: an integrative review of clinical and operational impacts

Frontiers in Digital Health, Journal Year: 2025, Volume and Issue: 7

Published: March 7, 2025

Background Advances in digital technologies and artificial intelligence (AI) are reshaping healthcare delivery, with AI increasingly integrated into nursing practice. These innovations promise enhanced diagnostic precision, improved operational workflows, more personalized patient care. However, the direct impact of on clinical outcomes, workflow efficiency, staff well-being requires further elucidation. Methods This integrative review synthesized findings from 18 studies published through November 2024 across diverse settings. Using PRISMA 2020 SPIDER frameworks alongside rigorous quality appraisal tools (MMAT ROBINS-I), examined multifaceted effects integration nursing. Our analysis focused three principal domains: advancements monitoring, efficiency workload management, ethical implications. Results The demonstrates that has yielded substantial benefits. AI-powered monitoring systems, including wearable sensors real-time alert platforms, have enabled nurses to detect subtle physiological changes—such as early fever onset or pain indicators—well before traditional methods, resulting timely interventions reduce complications, shorten hospital stays, lower readmission rates. For example, several reported early-warning algorithms facilitated faster responses, thereby improving safety outcomes. Operationally, AI-based automation routine tasks (e.g., scheduling, administrative documentation, predictive classification) streamlined resource allocation. efficiencies led a measurable reduction nurse burnout job satisfaction, can devote time despite these benefits, challenges remain prominent. Key concerns include data privacy risks, algorithmic bias, potential erosion judgment due overreliance technology. issues underscore need for robust targeted literacy training within curricula. Conclusion holds transformative practice by enhancing both outcomes efficiency. realize benefits fully, it is imperative develop frameworks, incorporate comprehensive education, foster interdisciplinary collaboration. Future longitudinal varied contexts essential validate support sustainable, equitable implementation Policymakers leaders must prioritize investments solutions complement expertise professionals while addressing risks.

Language: Английский

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The data-intensive research paradigm: challenges and responses in clinical professional graduate education

Frontiers in Medicine, Journal Year: 2025, Volume and Issue: 12

Published: Feb. 7, 2025

With the widespread application of big data, artificial intelligence, and machine learning technologies in medical field, a new paradigm data-intensive clinical research is emerging as key force driving advancement. This presents unprecedented challenges for graduate education professions, encompassing multidisciplinary integration needs, high-quality faculty shortages, method transformations, assessment system updates, ethical concerns. Future healthcare professionals will need not only to possess traditional knowledge skills, but also master interdisciplinary skills such data analysis, programming, statistics. In response, this paper proposes series countermeasures, including curriculum reconstruction, development, developing sharing resources, updating evaluation system, strengthening ethics education. These initiatives aim help better adapt paradigm, ultimately cultivating talents medical-computer integration.

Language: Английский

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The Integration of Automation in Nursing Practice: Opportunities, Challenges, and Future Directions (Preprint)

Published: Feb. 14, 2025

The integration of automation in nursing practice presents both transformative opportunities and significant challenges. As healthcare systems increasingly adopt automated technologies, such as robotic-assisted procedures, electronic health records (EHRs), AI-driven decision support systems, it is crucial to assess their impact on workflows patient care. This discursive paper explores the potential benefits automation, including enhanced efficiency, reduced workload, improved outcomes. By synthesizing existing research, this identifies gaps current understanding automation’s role highlights areas requiring further exploration. Additionally, discussion considers implications for future practice, emphasizing need policies that ensure seamless ethical technology while preserving essential human elements findings suggest can optimize processes, a balanced approach prioritizes patient-centered care professional development necessary. Ultimately, provides recommendations integrating effectively, ensuring technological advancements rather than undermine profession’s core values.

Language: Английский

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AI-Powered Data Analytics: A Game Changer

International Journal of Advanced Research in Science Communication and Technology, Journal Year: 2025, Volume and Issue: unknown, P. 97 - 102

Published: March 24, 2025

The discipline of data analytics continues to evolve highly because AI technology has been incorporated into its framework. This paper examines how AI-powered brings new opportunities different industries by discovering meaningful findings, improving decision systems, and fostering innovations. research synthesis with practical applications algorithms that boost analysis capabilities explaining their processing methods the benefits drawbacks this technological combination. Cloud computing integrated artificial intelligence delivers a approach helps organizations extract useful information from big datasets. AI-driven will be shaped three principal trends, which include explainable requirements edge growth, as well interruption technologies transformative Organizations obtain better decision-making strategic through revolutionary application for extracting insights complex extensive collections

Language: Английский

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