In the healthcare sector, effectively analyzing and interpreting medical reports is essential for healthcare providers and patients alike. Despite their valuable content, many medical reports remain underused due to complexity and lengthy analysis processes. To tackle this issue, we have developed a Medical Reports Analysis Dashboard designed to improve how healthcare professionals interact with medical data.

This innovative dashboard leverages advanced technologies, including Amazon Bedrock for AI capabilities, LangChain for document processing, and Streamlit for a user-friendly interface. Together, these tools enable a system that not only stores and displays medical reports but also provides intuitive interpretations through natural language queries and dynamic visualizations.

At the heart of the solution are various large language models accessible via Amazon Bedrock, including Anthropic’s Claude series and Amazon Nova Foundation Models. These models can effectively respond to natural language questions in a medical context, enhancing the interpretation of healthcare data while maintaining flexibility in performance metrics. LangChain’s capabilities further enrich the process by ensuring relevant responses with accurate context management.

The dashboard’s architecture consists of four layers: a user interface featuring interactive visualizations, a processing layer that handles document management, an AI/ML layer utilizing Amazon Bedrock, and a storage layer utilizing Amazon S3 for securing medical reports. The interactive visual elements, powered by Plotly, include comparative range charts and trend analysis.

Before deploying this dashboard, users must set up an Amazon S3 bucket, acquire the necessary AWS permissions, and install essential software like the AWS CLI. The deployment process involves cloning the project repository, setting up a virtual environment, and installing required packages.

Once deployed, the dashboard provides an engaging interface for analyzing medical reports, featuring a chat system for natural language interactions and data visualization capabilities that illustrate trends and comparisons among various health parameters.

As healthcare continues to evolve, this approach demonstrates how AI and cloud technologies can revolutionize medical data analysis, making it more accessible and actionable for healthcare professionals while ensuring compliance with security and privacy regulations.