The SymptomWise framework separates language understanding from diagnostic reasoning to eliminate hallucinations in medical AI. It uses LLMs only for symptom extraction, mapping text to a deterministic codex for final diagnosis. This architecture ensures traceability in safety-critical settings. Practitioners can now implement verifiable differential diagnoses without relying on generative guesswork.