AI Feedback
Collect and manage feedback on AI-generated results to improve model performance and accuracy over time.
Overview
Capture feedback on:
- NLP entity extractions
- De-identification results
- Cohort assignments
- Agent responses
Feedback Types
- Correct/Incorrect classification
- Missing entities
- False positives
- Model improvement suggestions
Usage
Feedback is used to:
- Retrain models
- Fine-tune algorithms
- Improve accuracy
- Track model performance