Case Study - AI-powered document processing for healthcare
Unseal is a healthcare data platform that needed intelligent document processing to extract insights from millions of medical records.
- Client
- Unseal
- Year
- Service
- NLP, Document AI
Overview
Unseal's platform helps healthcare organizations manage and analyze patient data at scale. Their challenge: millions of documents in varying formats — from handwritten notes to PDFs to faxed lab results — that contained valuable insights locked in unstructured text.
We developed a multi-stage NLP pipeline that handles the full document processing workflow. The system uses computer vision for document classification, custom-trained models for named entity recognition specific to medical terminology, and a validation layer that flags low-confidence extractions for human review.
The solution processes documents in real-time as they enter the system, populating structured databases that power Unseal's analytics dashboards. Healthcare providers can now query their entire document corpus in seconds rather than weeks.
What we did
- Document Classification
- Medical NLP
- Data Pipeline
- Real-time Processing
Dogle built us a document processing system that handles what used to take our team weeks in just hours. The accuracy exceeded our expectations.
Head of Engineering at Unseal
- Extraction accuracy
- 98%
- Faster processing
- 50x
- Documents processed monthly
- 1M+
- Annual cost savings
- $1.8M