This paper proposes Matmod, an intelligent medical assistant leveraging prompt engineering, NLP, and knowledge graphs to address challenges like resource strain, inefficient communication, and poor self-management in healthcare. Matmod integrates an intelligent case database, medical knowledge navigation, AI diagnostics, and interactive health advising, optimizing workflows for professionals and patients. Results show improved case retrieval for clinicians, enhanced theory-practice linkage for students, and accurate symptom analysis to reduce diagnostic errors. The system also empowers users with personalized health guidance. Matmod demonstrates potential to elevate service quality and individual health management.