Pasien Hari Ini
🏥
247
↑ +12 vs kemarin
BOR (Bed Occ.)
🛏️
82%
Target 85%
Klaim BPJS Approved
✅
98.4%
↑ vs 96.8% bulan lalu
Revenue Hari Ini
💰
Rp 5.2jt
94.5% target
ALOS (Length of Stay)
📅
3.8 hari
Target <4 hari ✅
Pasien Kritis
🚨
8
3 di ICU · 5 HCU
📊
Arus Pasien Masuk & Keluar per Jam📊
Payer MixBPJS (52%)128 pasien
Umum (38%)94 pasien
Korporat (10%)25 pasien
⚡
Live Hospital FeedREALTIME
🏥
Pasien baru #P-2847 IGD — Tn. Ahmad (45th) — Chest Pain — triage P1
✅
Klaim BPJS #CLM-8472 disetujui — Rp 4.8jt — Pelayanan Bedah
🛏️
Kamar 305 kosong — pasien Ny. Sari discharge 13:20 — housekeeping dipanggil
📊
BOR & ALOS Gauge82%
Bed Occupancy
0%100%
3.8
ALOS (hari)
010 hari
🤖
AI Agents🛏️ Bed Management
82% BOR · AUTO ASSIGN
📋 BPJS Claim Agent
98.4% APPROVAL · AUTO SUBMIT
🚨 ICU Risk Agent
8 KRITIS · 3 ICU MONITOR
💰
Revenue per DepartemenTotal Tempat Tidur
🛏️
180
Semua unit
Terisi
✅
148
82.2% BOR
Kosong
📭
32
Siap diterima
Akan Discharge Hari Ini
🚪
14
Diperkirakan sore ini
🗺️
Bed Heatmap — Occupancy per Ruangan
Lantai 3Lantai 4Lantai 5
<60%
60-80%
>80%
📋
Status Ruangan Detail| Ruangan | Kapasitas | Terisi | BOR | Discharge Hari Ini | Status |
|---|---|---|---|---|---|
| ICU | 12 | 11 | 91.7% | 1 | PENUH |
| HCU | 20 | 17 | 85% | 3 | KRITIS |
| Bedah | 40 | 35 | 87.5% | 4 | KRITIS |
| Penyakit Dalam | 50 | 42 | 84% | 5 | NORMAL |
| Anak | 30 | 21 | 70% | 2 | NORMAL |
| Kandungan | 28 | 22 | 78.6% | 3 | NORMAL |
🤖
AI Bed Insights🛏️ ICU Near Full Capacity
ICU 91.7% — AI prediksi 1 transfer dari HCU dalam 2 jam. Siapkan ruang HDU sebagai overflow. Alert sudah dikirim ke Ka. ICU.
87% occupancy prediction accuracy
🚪 Discharge Optimization
14 pasien schedule discharge hari ini. AI rekomendasikan prioritas discharge pagi (sebelum 12:00) untuk free up ICU bed sebelum peak admission sore.
Klaim Submit Hari Ini
📤
47
Auto-submit 08:00
Approval Rate
✅
98.4%
↑ vs 96.8% bulan lalu
Nilai Klaim (MTD)
💰
Rp 284jt
18 hari kerja
Klaim Pending
⏳
8
Verifikasi BPJS
📈
BPJS Approval Rate Trend🤖
AI BPJS Insights📋 Auto-Coding ICD-10
AI auto-assign ICD-10 & ICD-9-CM untuk 47 klaim hari ini. Accuracy 98.4% vs manual 94.2%. Hemat rata-rata 2.4 jam/hari staff billing.
98.4% coding accuracy
⚠️ Potential Rejection Alert
3 klaim berisiko ditolak (diagnosis tidak match prosedur). AI flag untuk review manual sebelum submit. Prevention value: Rp 28.4jt.
💰
Revenue Mix MTDBPJS (52%)Rp 147.7jt
Pasien Umum (38%)Rp 107.9jt
Korporat (10%)Rp 28.4jt
Revenue MTD
💰
Rp 284jt
92% dari target Rp 308jt
Gross Margin
📊
68.4%
Target 65% ✅
Piutang Outstanding
⚠️
Rp 48jt
38 hari avg AR days
Cash Conversion
📅
42 hari
Target <45 hari ✅
📈
Revenue per Departemen — MTD📊
P&L Summary Bulan IniRevenue BrutoRp 284,000,000
BPJS Discount (10%)-Rp 14,800,000
Net RevenueRp 269,200,000
COGS (Obat + BHP)-Rp 85,100,000
Gross Profit (68.4%)Rp 184,100,000
Labor & Overhead-Rp 112,400,000
EBITDA (26.8%)Rp 71,700,000
AI Savings Bulanan
💰
Rp 48jt
BPJS + Ops efficiency
Readmission Reduced
🏥
↓ 23%
AI early warning
Avg Accuracy
🎯
96.2%
Semua agent
🏥 Readmission Risk Alert
Pasien P-2834 (Tn. Budi, DM Type 2) readmission risk 78% dalam 30 hari berdasarkan discharge profile. AI rekomendasikan: kontrol 2 minggu lagi + edukasi diet. Nurse sudah di-brief.
87% readmission prediction
💊 Drug Interaction Check
AI flag potential interaction pada resep P-2841: Warfarin + Aspirin. Alert ke DPJP Dr. Sari untuk konfirmasi. Zero adverse drug event bulan ini.
99.1% drug check accuracy
📋 ICD Coding Auto
98.4% accuracy ICD-10 auto-coding. Hemat 2.4 jam/hari billing staff. BPJS rejection rate turun dari 3.2% ke 1.6%.
📊 Revenue Cycle Optimization
3 klaim berisiko rejection di-flag sebelum submit. Prevention value Rp 28.4jt. AR days turun dari 52 ke 42 hari sejak ADT deployed.
📊
AI Impact DashboardBPJS Approval Rate98.4%
Bed Utilization AI82%
Readmission Prevention77% risk reduced
ICD Coding Accuracy98.4%
Drug Safety Check99.1%
BPJS Rejection PreventedRp 28.4jt/bln
Ops Efficiency (Bed + Scheduling)Rp 19.6jt/bln
Total AI SavingsRp 48jt/bln