Analytics & Insights
AI performance metrics, clinical activity, and revenue tracking
Total Patients
284
↑ 12% vs last month
Voice Sessions
261
92% adoption rate
Time Saved
42h
~9 min per patient
Revenue (BPJS)
Rp 48.2jt
↑ 8% vs last month
Daily Patient Volume
1 Apr
7 Apr
14 Apr
AI Performance
STT Accuracy (Bahasa ID)
96.2%
Speaker Diarization
93.8%
Entity Extraction (NER)
91.5%
ICD-10 Coding Accuracy
89.3%
Note Approval Rate
84.7%
Approved without edits on first pass
Top Diagnoses (ICD-10)
| Rank | ICD-10 | Diagnosis | Count | % |
|---|---|---|---|---|
| 1 | J06.9 | ISPA (URI) | 48 | 16.9% |
| 2 | I10 | Hipertensi primer | 35 | 12.3% |
| 3 | E11.9 | DM tipe 2 | 28 | 9.9% |
| 4 | K21.0 | GERD | 22 | 7.7% |
| 5 | M54.5 | Low back pain | 19 | 6.7% |
Revenue by Insurance Type
BPJS
Rp 38.4 jt
General / Cash
Rp 8.2 jt
Asuransi Swasta
Rp 1.6 jt
Total Revenue
Rp 48.2 jt
Time Saved per Task (AI vs Manual)
Documentation
8min
saved per note
↓ 75% faster
ICD Coding
3min
saved per claim
↓ 85% faster
Prescriptions
2min
saved per Rx
↓ 60% faster
Drug Check
4min
saved per lookup
↓ 90% faster
Follow-up
5min
saved per scheduling
↓ 95% faster