Empowering Care: Transforming Nursing Through Artificial Intelligence DOI
Nada Lukkahatai, Michael Joseph S. Diño, Leorey N. Saligan

et al.

IntechOpen eBooks, Journal Year: 2025, Volume and Issue: unknown

Published: April 28, 2025

This chapter explores the roles of artificial intelligence (AI) in nursing, highlighting its potential to enhance patient care, streamline clinical workflows, and support evidence-based decision-making nursing research. It discusses applications AI predictive analytics, personalized virtual assistants while addressing ethical considerations evolving role nurses AI-driven healthcare. The addresses critical adopting such as implications, privacy, need for equitable access tools. content is based on a narrative synthesis relevant literature, identified through searches healthcare databases, including PubMed Cumulative Index Nursing Allied Health Literature (CINAHL), using terms “artificial intelligence,” “nursing practice,” education,” research.” importance training workforce work effectively with technologies augment, rather than replace, human judgment care. Additionally, case studies real-world examples illustrate successful implementation solutions lessons learned best practices. Through future projections, emphasizes integrating empower improve health outcomes.

Language: Английский

The Integration of Automation in Nursing Practice: Opportunities, Challenges, and Future Directions (Preprint) DOI
Joseph Andrew Pepito, Neilan John Acaso

Published: Feb. 14, 2025

BACKGROUND The integration of automation in nursing practice presents both transformative opportunities and significant challenges. OBJECTIVE 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. METHODS This discursive paper explores the potential benefits automation, including enhanced efficiency, reduced workload, improved outcomes. RESULTS 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 CONCLUSIONS 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

Citations

0
Editorial: Clinical application of artificial intelligence in emergency and critical care medicine, volume V DOI Creative Commons
Yanni Wang,

Rahul Kashyap,

Ping Zhang

et al.

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

Published: April 11, 2025

Citations

0
A sepsis diagnosis method based on Chain-of-Thought reasoning using Large Language Models DOI
Weimin Zhang,

Mengfei Wu,

Luyao Zhou

et al.

Journal of Applied Biomedicine, Journal Year: 2025, Volume and Issue: 45(2), P. 269 - 277

Published: April 1, 2025

Language: Английский

Citations

0
Rethinking sepsis: from controversy to precision-driven solutions DOI Creative Commons
Jeffrey S. Upperman, Heather L. Evans

Trauma Surgery & Acute Care Open, Journal Year: 2025, Volume and Issue: 10(2), P. e001810 - e001810

Published: April 1, 2025

Language: Английский

Citations

0
Formative Evaluation to Inform Implementation of Sepsis Bundles in Emergency Departments DOI
Hannah E. Frank,

Nima Sarani,

Jacqueline F. Hayes

et al.

Annals of Emergency Medicine, Journal Year: 2025, Volume and Issue: unknown

Published: May 1, 2025

Language: Английский

Citations

0
Empowering Care: Transforming Nursing Through Artificial Intelligence DOI
Nada Lukkahatai, Michael Joseph S. Diño, Leorey N. Saligan

et al.

IntechOpen eBooks, Journal Year: 2025, Volume and Issue: unknown

Published: April 28, 2025

This chapter explores the roles of artificial intelligence (AI) in nursing, highlighting its potential to enhance patient care, streamline clinical workflows, and support evidence-based decision-making nursing research. It discusses applications AI predictive analytics, personalized virtual assistants while addressing ethical considerations evolving role nurses AI-driven healthcare. The addresses critical adopting such as implications, privacy, need for equitable access tools. content is based on a narrative synthesis relevant literature, identified through searches healthcare databases, including PubMed Cumulative Index Nursing Allied Health Literature (CINAHL), using terms “artificial intelligence,” “nursing practice,” education,” research.” importance training workforce work effectively with technologies augment, rather than replace, human judgment care. Additionally, case studies real-world examples illustrate successful implementation solutions lessons learned best practices. Through future projections, emphasizes integrating empower improve health outcomes.

Language: Английский

Citations

0