"Adopting Artificial Intelligence to Enhance Nursing Roles in Crisis Management"

Abstract

Artificial Intelligence (AI) has emerged as a transformative tool in healthcare, particularly in crisis management, where nurses play a pivotal role as frontline healthcare professionals. During crises such as pandemics, natural disasters, and large-scale emergencies, the increasing complexity and intensity of these situations often strain traditional nursing practices. This study explores how AI can augment nursing roles, improve decision-making, and enhance patient outcomes in such scenarios. Additionally, qualitative data from semi-structured interviews with 50 nursing professionals were analyzed to capture practical insights into AI applications in clinical settings. The AI tools examined included predictive analytics, triage automation, real-time resource allocation, and decision-support systems. The integration of AI demonstrated significant potential to enhance nursing efficiency and accuracy during crises. Predictive analytics improved resource allocation by 30%, enabling better preparedness for surges in patient volume, while AI-driven triage systems reduced decision-making time by 40%, ensuring timely interventions. Nurses reported increased confidence and reduced cognitive burden when supported by AI tools. However, barriers such as insufficient training, ethical concerns, and data privacy issues were identified. These findings highlight the transformative potential of AI technologies in redefining nursing roles during crises, shifting them toward more proactive and data-driven practices. The results also underscore the importance of designing tailored AI systems that complement, rather than replace, human expertise. Comprehensive training programs and robust ethical frameworks are necessary to address the barriers to AI adoption in nursing. Adopting AI in nursing roles offers a pathway to enhanced crisis management capabilities, ensuring efficient and patient-centered care. Future research should focus on developing scalable AI solutions, addressing ethical and practical barriers, and fostering interdisciplinary collaboration to maximize AI's potential in healthcare. This study provides a foundation for integrating AI into nursing practices, paving the way for improved resilience and responsiveness in crisis scenarios.