The burgeoning field of AI-powered healthcare prognosis offers immense potential, but traditional data center infrastructure creates a significant environmental footprint. This chapter advocates for energy-efficient AI algorithms and hardware alongside renewable energy integration (solar, wind) to minimize reliance on fossil fuels. Robust security measures and privacy-preserving techniques are crucial to protect sensitive patient data used in AI models. Finally, scalable cloud-based infrastructure with containerization and auto-scaling ensures efficient handling of growing data volumes and user demands. By prioritizing these principles, we can create a sustainable and secure future where AI empowers healthcare prognosis, improving patient outcomes for generations to come.