AI-Powered Diagnostic Assistant for Healthcare Network

The Challenge

Clinicians were spending 40% of their time on documentation and manual chart review, reducing patient face time and increasing burnout. The healthcare network needed an AI solution that could assist with diagnostic suggestions while maintaining HIPAA compliance and clinical accuracy.

The Solution

We built a secure AI diagnostic assistant using GPT-4 with custom medical knowledge bases and RAG (Retrieval-Augmented Generation) to provide evidence-based diagnostic suggestions. The system integrates with existing EHR systems and includes a confidence scoring mechanism that routes edge cases to senior physicians.

Technology Stack