AI-assisted annotation
AI team-based approach for text annotation, including annotation for named entity recognition and relation extraction.
- Team collaboration
- AI-assisted pre-annotation
- Quality assurance
- Intelligent suggestions
- Annotation efficiency
- Supported by IMO Clinical AI for LLM-generated annotation
Pipeline development
Advanced AI-based environment for model training and pipeline development with a top-ranked, deep learning and rule development environment to engineer clinical NLP models and accurately identify and encode clinical information.
- Hybrid approach blends the stability and efficiency of supervised machine learning and the advanced capabilities of LLMs
- No-code, drag-and-drop pipeline building
- Seamless connection to IMO Health clinical terminology for high-fidelity concept mapping
- Component customization
NLP pipeline and model library
Award-winning domain-specific algorithms for clinical NLP with an extensive NLP pipeline library including more than 50 modules.
- Pre-processing
- Named entity recognition (NER)
- Relation extraction
- Concept mapping to IMO Health lexicals and standard code sets
Model review
Incorporates human-in-the-loop workflow for validation of model accuracy and correction of machine predictions.
- Intuitive UI for improved review-efficiency
- Automated accuracy metrics calculation
Flexible integration, deployment, and scalability
Incorporates human-in-the-loop workflow for validation of model accuracy and correction of machine predictions.
- SaaS offering
- On-premise deployment
- One-click containerization of developed NLP pipelines for scalability
Security
IMO Health’s NLP development toolkit is HIPAA, SOC2, and AWS compliant.