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OpenMed is an open-source healthcare AI and medical NLP toolkit designed to turn clinical text into structured insights using transformer-based models and production-oriented interfaces. Its core purpose is to provide specialized medical entity extraction, PII detection and de-identification, assertion-aware analysis, and related healthcare text processing capabilities without locking users into a proprietary platform. The project includes a curated registry of more than a dozen medical NER models focused on areas such as diseases, drugs, anatomy, genes, and protected health information, and it is built to support both research and deployment scenarios. OpenMed can be used in three main ways: as a simple Python API for scripts and notebooks, as a Docker-friendly FastAPI service for backend integration, and as a batch-processing system for multi-document workflows.
Features
- Curated registry of specialized medical NER models
- HIPAA-oriented PII detection and de-identification
- Python API for notebooks, scripts, and local workflows
- Docker-friendly FastAPI service for application backends
- Batch processing for multi-text and multi-file analysis
- Medical-aware tokenization with flexible output formats
Project Samples
