Grounding Medical AI: Why Accuracy Beats Confidence in Healthcare Documentation

Healthcare AI demands a fundamentally different approach than general-purpose AI—fluent and confident answers are worthless without being factually grounded in actual patient records. RAG (Retrieval-Augmented Generation) solves this by retrieving relevant documents first and enforcing strict accuracy constraints, making clinical AI trustworthy where patient safety depends on precision, not persuasive language.