Embedding-Based Evaluation and Benchmarking Framework for Optimizing LLM Post-Processing of Medical Transcriptions from a Local Whisper System.
INTRODUCTION Locally deployed speech-to-text systems such as Whisper enable privacy-preserving transcription of medical encounters. However, the resulting transcripts are often lengthy, noisy, and insufficiently structured for direct integration into clinical documentation workflows. Large language models (LLMs) can tr...