Learning Loop
AI model feedback, outcome analysis, continuous improvement, and clinical effectiveness tracking
89%
AI Accuracy (Outcomes)
234
Clinician Feedbacks
+4.2%
Model Improvement (QTR)
3 days
Avg Model Retrain Cycle
Submit AI Feedback
Feedback Type
Related Student / Case
Clinician Note
Rating
AI Model Performance Trend
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Recent AI Feedback Log
| Type | By | Rating | Date |
|---|---|---|---|
| Risk Flag — Correct | Dr. Kamau | 5★ | Today |
| Report — Minor correction | Dr. Omondi | 4★ | 3 Jun |
| Referral — Accepted | Dr. Mwangi | 5★ | 2 Jun |
| Prediction — Overestimated | Dr. Kamau | 3★ | 1 Jun |
Model Retrain Schedule
Last Retrain3 Jun 2026
Next Scheduled6 Jun 2026
Feedback Incorporated234 records
Model Versionv2.1.4
Retrain TriggerFeedback > 50 OR 7 days
Accuracy by Feature
Risk Flagging91%
Report Drafting87%
Outcome Prediction83%
Referral Matching78%
Data Pipeline
Assessment outcomes pipeline: Live
Session notes NLP pipeline: Live
Referral success feedback: Live
School feedback integration: Partial