1. Collect symptoms and personal details
2. Keep waiting patients in memory (each gets random identtifier) and order them with priority

-- Doctor sees the patient and diagnoses --

1. Doctor inputs diagnosis
2. Predict probability of diagnosis being wrong (based on automatic diagn, based on doctor accuracy record)
3. If high probability -> Recommend a second opinion from an expert in recommended field

Docs: