Clinical Note Bloat Reduction for Efficient LLM Use

ArXi:2604.16364v1 Announce Type: cross Health systems are rapidly deploying large language models (LLMs) that use clinical notes for clinical decision applications. However, modern documentation practices rely heavily on templates, copy--paste shortcuts, and auto-populated fields, producing extensive duplicated text (``note bloat'') that dilutes clinically meaningful signal and substantially increases the computational cost of LLM use. We