Advancements in AI also present opportunities to improve healthcare, by making it more accessible, effective and sustainable economically. As AI becomes more integrated into healthcare, the main goal should be leveraging this technology to deliver equitable, and better quality care for all, driving a healthier and more sustainable future for everyone.
We use Large Language Models (LLMs) and Machine Learning (ML) techniques to extract and analyze key information, including cost data, impact metrics, and supply-demand trends. Our work involves fine-tuning pre-trained models, optimizing workflows, and applying predictive modeling. We also develop and refine prompts to enhance model performance and ensure accurate, context-aware responses. We primarily use Python to ensure scalable and efficient implementations.