Cascading multiple specialized modules (query reformulation, evidence ranking, grounded generation, answer-evidence linking) with an LLM outperforms end-to-end approaches for clinical QA, especially when grounding answers to source documents matters for patient safety.
A clinical question-answering system that helps patients understand their electronic health records by using a four-stage pipeline with an LLM to interpret patient questions, find relevant evidence in medical notes, generate grounded answers, and link answers back to source documents.