AI

Entity Extraction

Identify and classify clinical entities from medical text using NER models

BioBERT NER Model v3.1

Fine-tuned on 50K+ clinical notes from Nairobi West Hospital

98.8% Precision
97.4% Recall
96.2% F1
47ms Latency
Diagnoses
4,821
Hypertension 892
Type 2 Diabetes 743
Pneumonia 521
Malaria 487
Medications
8,947
Metformin 1,204
Amlodipine 987
Amoxicillin 856
Artemether 734
Procedures
2,904
Blood Test 1,102
ECG 643
X-Ray 521
Ultrasound 398
Recent Extractions
Document Entities Found Confidence Status Time
SOAP Note — Grace Kamau 14 98.2% Complete 1.2s
Discharge — Peter Oloo 22 97.1% Complete 2.4s