EMPOWERING MEDICAL SURGICAL NURSES TO DRIVE HEALTH EQUITY:A SYSTEMS SCIENCE FRAMEWORK INTEGRATING NETWORK DYNAMICS AND PREDICTIVE ANALYTICS

Abstract

Health inequalities in hospitals persist, especially for marginalized groups. This study tackles this issue using technology and teamwork. By analyzing how nurses, patients, and hospital systems interact, we pinpoint where gaps in care arise. Computer simulations and AI predict how changes like better nurse staffing or fairer policies can improve outcomes. For example, nurses acting as “care coordinators” reduced delays and errors. The model also addresses social factors (e.g., income, language) that worsen disparities. Results show empowering nurses with data-driven tools and supportive policies leads to safer, fairer care. This approach transforms nurses from bedside caregivers into leaders who reshape healthcare systems. It offers hospitals a roadmap to reduce inequities, allocate resources wisely, and predict patient needs. Ultimately, it highlights nurses’ critical role in building a more inclusive and effective healthcare system for all