HomeCase StudiesAI-Powered Diagnostic Support Automation
Healthcare Success

AI-Powered Diagnostic Support Automation

Key Outcome Accomplished

60% Reduction in Report Generation Time

Project Overview

Company Size

Mid-Market (200+ employees)

Location

GCC (UAE)

Duration

10 Weeks

Team Composition

  • 1 AI Architect
  • 2 ML Engineers
  • 1 Backend Engineer

Tech Stack

PythonPyTorchLangChainSelf-hosted LLMsFastAPI

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Business Challenge

A leading diagnostics chain was facing a massive backlog of imaging reports. Radiologists were spending 40% of their time formatting and drafting text rather than analyzing images. They needed a secure way to automate the drafting process without compromising accuracy.

Technical Complexity

Maintaining strict patient data privacy (HIPAA equivalent in GCC). Integrating advanced LLMs into an air-gapped on-premise hospital network. Fine-tuning models to understand specific medical terminology.

The Execution

We deployed a customized, self-hosted LLM solution using Llama 3 and LangChain. The system ingested preliminary findings and automatically generated structured, professional reports. All processing was done within the client's secure network.

Quantified Business Impact

  • 60% reduction in report generation time
  • Zero data leakage / 100% compliance maintained
  • Radiologist throughput increased by 35%
  • Reduction in formatting errors