clinical information extraction

Agentic RAG Pipeline Achieves 96.5% Clinician Acceptance in Clinical Information Extraction

Standard retrieval-augmented generation fails on clinical data due to missing metadata and cross-document dependencies. Researchers at University Medicine Essen deployed ACIE, an on-premise agentic RAG pipeline, that reasons over complete patient contexts and grounds answers in source passages. In an independent study with 7,326 clinician judgments, extractions were accepted 96.5% of the time, with per-type acceptance ranging from 80% to 99%.