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Nairobi West
HMS
Overview
Clinical Notes
Entity Extraction
Sentiment
Training
AI
NLP Documentation
AI-powered clinical text processing & analysis platform
All Systems Operational
API Reference
Documents Processed
142,847
+12.3%
vs last month
Entities Extracted
1.2M
+8.7%
accuracy improvement
Avg Latency
47ms
-15ms
from baseline
Model Accuracy
96.8%
+2.1%
after fine-tuning
Processing Pipeline
Tokenization
Real-time text segmentation
Active
Named Entity Recognition
BioBERT NER v3.1
Active
Relation Extraction
Graph-based model
Training
Sentiment Classification
Multi-label classifier
Active
Recent Activity
Batch #4821 completed
2 min ago — 342 notes processed
Model v3.2 training paused
15 min ago — Insufficient GPU memory
New dataset uploaded
1 hr ago — cardiology_notes_q4.csv
Quick Stats
Avg Processing Time
1.2s
Queue Depth
24
Error Rate
0.03%
Uptime
99.97%