Visualizing Impact of Sustainability Outcome in Healthcare Infrastructure

This study presents a sustainable decision-making framework for healthcare systems, focusing on integrating AI-supported Electronic Medical Records to optimize budget constraints, resource utilization, and operational efficiency. The model incorporates sustainability principles by setting performance thresholds, integrating energy-efficient systems, and promoting waste reduction. It adapts dynamically to shifting priorities, balancing clinical outcomes, cost management, and time savings. The framework enhances long-term sustainability in cancer care by utilizing predictive analytics for treatment optimization, reducing inefficiencies, and improving decision-making accuracy. By aligning technology with sustainability goals, the model fosters improved patient outcomes, cost-effectiveness, and environmental responsibility in healthcare delivery.