AI-Powered Generative Framework for Automated Clinical Audit Narratives: Regulated Prompt Engineering with LLMs and NLP

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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Published
2025-05-06
DOI
https://doi.org/10.63374/qitp-ijaimlrd_06_01_002
Primary Topic
Artificial Intelligence in Law
Type
article
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article

AI-Powered Generative Framework for Automated Clinical Audit Narratives: Regulated Prompt Engineering with LLMs and NLP

Gangadhar Vasanthapuram
Artificial Intelligence in Law
article

AI-Powered Generative Framework for Automated Clinical Audit Narratives: Regulated Prompt Engineering with LLMs and NLP

Gangadhar Vasanthapuram
article en

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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Artificial Intelligence in Law
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AI-Powered Generative Framework for Automated Clinical Audit Narratives: Regulated Prompt Engineering with LLMs and NLP — Gangadhar Vasanthapuram · (2025) | TGRS Research Map | TGRS