Automating the analysis of medical documents with AI

Rootstack developed an artificial intelligence solution for a medical platform that automatically analyzes clinical documents uploaded by patients and generates structured medical reports. 

By integrating OpenAI models through Azure, the platform transforms unstructured medical information into professional, standardized reports ready for clinical evaluation, improving efficiency and accuracy in healthcare processes.

About the Company

The company is an organization focused on developing digital solutions for the healthcare sector, aiming to improve how patients and medical professionals manage and analyze clinical information.

Through its medical web platform, patients can upload clinical documents that healthcare professionals later use for evaluation and decision-making. However, manually reviewing these documents can be time-consuming, complex, and prone to inconsistencies, especially when dealing with unstructured information coming from different medical sources.

To address this challenge, the organization sought a way to automate the processing of clinical documents and convert large volumes of medical information into clear, structured data.

Rootstack’s Solution

Rootstack implemented an artificial intelligence solution that enables the automatic analysis of medical documents uploaded to the platform.

The system uses OpenAI models integrated through Azure to process unstructured medical files, identify key clinical information, and generate structured medical reports with a professional format.

Once a patient uploads their documents to the platform, the AI analyzes the content, extracts relevant medical data, and organizes it into a standardized report that doctors can use directly during their evaluation process.

This automation transforms complex medical documentation into clear, structured, and easy-to-interpret information, integrating artificial intelligence as a core component of the platform’s workflow.

Technologies

React Native, Angular, Java, OpenAI (Azure OpenAI).

Benefits

• Faster processing of medical records, significantly reducing manual review time.
• Improved accuracy and standardization of clinical documentation, thanks to consistently generated reports.
• Enhanced communication between patients and healthcare professionals through clear, structured reports.
• Optimized medical workflows, allowing doctors to focus on clinical evaluation rather than manual document review.
• Transformation of medical information into structured insights, improving the efficiency and reliability of healthcare processes.