Healthcare drowns in data yet starves for understanding. Every system speaks a different language—EHRs use one vocabulary, claims another, labs a third. The result isn’t just inefficiency; it’s cognitive paralysis where meaning gets lost in translation. This paper reveals how ontologies, knowledge graphs, graph databases, and LLMs converge to transform fragmented information into connected intelligence.