Simplification and Translation of Medical Reports Using Large Language Models-A Protocol for the Indian Context

Medical reports are often written in complex English, making them difficult for the average patient to understand, especially in regional and rural areas where English proficiency is low. This paper presents a cloud-based solution leveraging Large Language Models (LLMs), specifically OpenAI’s GPT-4.1, deployed through Microsoft Azure, to simplify radiology reports. The system features a secure, scalable web interface that allows users to input medical reports and receive simplified outputs. The architecture emphasises security, compliance, and modularity, allowing future enhancements such as translation into Indian languages and OCR for scanned reports. Initial tests show promising results in improving readability. Future efforts include fine-tuning the model with expert-reviewed data, implementing quality checks, and incorporating user feedback to ensure medical accuracy and usefulness. This approach aims to bridge the language gap in Indian healthcare, promote health literacy, and empower patients with accessible medical information.