AI-Powered Document Analysis Pilot: Regional Healthcare Network

A 6-month pilot program implementing Gloomlab's document intelligence platform to streamline medical record processing and extract actionable insights from unstructured clinical data.

The Challenge

The healthcare consortium was struggling with manual processing of thousands of patient records, clinical notes, and research documents. Staff spent 40% of their time on data entry and document review, leading to delayed patient care and increased operational costs. Traditional OCR solutions failed to understand medical terminology and context.

Our Solution

Gloomlab deployed a pilot version of our AI document analysis platform, specifically trained on medical terminology and HIPAA-compliant processing. The system was implemented in a controlled environment with 3 participating clinics, processing approximately 500 documents daily. Our team worked closely with clinical staff to refine the AI models and ensure accuracy.

Results

During the 6-month pilot: 65% reduction in document processing time, 92% accuracy in medical terminology extraction, and 30% improvement in staff productivity. The pilot successfully processed over 75,000 documents and identified 15% more relevant patient insights compared to manual review. Based on these results, the consortium is planning full deployment across 12 additional facilities.