AI-Powered Generative Framework for Automated Clinical Audit Narratives: Regulated Prompt Engineering with LLMs and NLP
Abstract
This paper explores an AI-powered framework designed to automate clinical audit narratives, leveraging large language models (LLMs) and natural language processing (NLP). The system employs fine-tuned GPT models, ICD-10-aware embeddings, and regulated prompt engineering to ensure legal compliance. This approach aims to enhance the accuracy, efficiency, and compliance of clinical documentation processes.
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