Unlocking electronic health records: a hybrid graph RAG approach to safe clinical AI for patient QA

These results demonstrate that hybrid graph-grounding significantly advances clinical information retrieval, offering a safer and more comprehensive alternative to standard LLM deployments. By combining structured graph traversal with semantic vector search, MediGRAF addresses the critical limitations of isolated retrieval approaches, establishing a foundation for responsible AI deployment in clinical settings.